notebooks/Hires-Gutnisky-2015-examples.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hires, Gutnisky et al., 2015 - A DataJoint example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook presents data and results associated with the following papers:\n",
    ">Samuel Andrew Hires, Diego A Gutnisky, Jianing Yu, Daniel H O’Connor, and Karel Svoboda. \"Low-noise encoding of active touch by\n",
    "layer 4 in the somatosensory cortex\" (2015) eLife (http://doi.org/10.7554/eLife.06619)\n",
    "\n",
    "This study investigated the spiking variability of layer 4 (L4) excitatory neurons in the mouse barrel cortex, using intracellular recordings. The recordings were performed during a object locating task, where whisker movements and contacts with object were tracked to the milisecond precision. Spiking patterns in L4 neurons appeared irregular at first, however upon alingning to the fine-scale structure of the behavior, the study revealed that spiking patterns are coupled to the temporal sensory input from object contact, with spike rate increases shortly after touch.\n",
    "\n",
    "A ***DataJoint*** data pipeline has been constructed for this study, with the presented data ingested into this pipeline. This notebook demonstrates the queries, processing, and reproduction of several figures from the paper. From the pipeline, export capability to NWB 2.0 format is also available."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## About the data\n",
    "\n",
    "The dataset comprises of membrane potential, and spikes of layer 4 (L4) neurons of the mouse's barrel cortex (around C2 column) during a whisker-based object locating task. The behavior data includes detailed description of the trial structure (e.g. trial timing, trial instruction, trial response, etc.) and a variety of whisker movement related tracking data: whisker position, whisker phase, whisker curvature change, touch times, etc.\n",
    "\n",
    "Original data can be found here: http://crcns.org/data-sets/ssc/ssc-5/about-ssc-5\n",
    "\n",
    "The data in original MATLAB format (.mat) have been ingested into a DataJoint data pipeline presented below. This notebook demonstrates the queries, processing, and reproduction of several figures from the paper. \n",
    "\n",
    "Data are also exported into NWB 2.0 format. The code used for performing NWB export can be found [here](../scripts/datajoint_to_nwb.py)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Connecting root@127.0.0.1:3306\n"
     ]
    }
   ],
   "source": [
    "# import necessary Python packages including DataJoint\n",
    "\n",
    "from datetime import datetime\n",
    "import os\n",
    "os.chdir('..')\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "import datajoint as dj\n",
    "from pipeline import (reference, subject, acquisition, stimulation, analysis, virus,\n",
    "                      intracellular, behavior, utilities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Architecture of the data pipeline\n",
    "\n",
    "This data pipeline is comprised of three core components:\n",
    "+ **subject**: the meta information on the animal, e.g. genetic information, virus injection\n",
    "+ **acquisition**: the organization of the experiment: session acquisition, trial structure, behavior data\n",
    "+ **electrophysiology**: intracellular recordings, and spikes data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In DataJoint, related tables are organized together into a **schema**, and a data pipeline typically consists of tables across multiple schemas connected to each other."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Subject"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`subject` schema contains various tables representing information and meta-information about the experimental animals, as well as information about genetic backgrounds and virus injected for the experiment. The DataJoint *Diagram* below shows all tables found inside the `subject` schema."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<g class=\"graph\" id=\"graph0\" transform=\"scale(1 1) rotate(0) translate(4 181)\">\n",
       "<title>%3</title>\n",
       "<polygon fill=\"white\" points=\"-4,4 -4,-181 478,-181 478,4 -4,4\" stroke=\"none\"/>\n",
       "<!-- subject.Subject -->\n",
       "<g class=\"node\" id=\"node1\"><title>subject.Subject</title>\n",
       "<g id=\"a_node1\"><a xlink:title=\"subject_id           \r",
       "------------------------------\r",
       "→ subject.Species\r",
       "→ reference.AnimalSource\r",
       "sex=&quot;U&quot;              \r",
       "date_of_birth=null   \r",
       "subject_description=null \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"335,-106 240,-106 240,-71 335,-71 335,-106\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"248\" y=\"-86.4\">subject.Subject</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- subject.Zygosity -->\n",
       "<g class=\"node\" id=\"node3\"><title>subject.Zygosity</title>\n",
       "<g id=\"a_node3\"><a xlink:title=\"→ subject.Subject\r",
       "→ subject.Allele\r",
       "------------------------------\r",
       "zygosity             \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"214,-35 115,-35 115,-0 214,-0 214,-35\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"164.5\" y=\"-14.4\">subject.Zygosity</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- subject.Subject&#45;&gt;subject.Zygosity -->\n",
       "<g class=\"edge\" id=\"edge1\"><title>subject.Subject-&gt;subject.Zygosity</title>\n",
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       "</g>\n",
       "<!-- subject.Subject.Allele -->\n",
       "<g class=\"node\" id=\"node5\"><title>subject.Subject.Allele</title>\n",
       "<g id=\"a_node5\"><a xlink:title=\"→ subject.Subject\r",
       "→ subject.Allele\r",
       "\">\n",
       "<polygon fill=\"none\" points=\"343,-27 232,-27 232,-8 343,-8 343,-27\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"middle\" x=\"287.5\" y=\"-15\">subject.Subject.Allele</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- subject.Subject&#45;&gt;subject.Subject.Allele -->\n",
       "<g class=\"edge\" id=\"edge2\"><title>subject.Subject-&gt;subject.Subject.Allele</title>\n",
       "<path d=\"M287.5,-70.797C287.5,-57.0768 287.5,-38.1854 287.5,-27.2652\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- virus.VirusInjection -->\n",
       "<g class=\"node\" id=\"node6\"><title>virus.VirusInjection</title>\n",
       "<g id=\"a_node6\"><a xlink:title=\"→ subject.Subject\r",
       "→ reference.BrainLocation\r",
       "→ reference.CoordinateReference\r",
       "injection_date       \r",
       "injection_depth      \r",
       "------------------------------\r",
       "→ virus.Virus\r",
       "injection_volume     \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"474,-35 361,-35 361,-0 474,-0 474,-35\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"369\" y=\"-15.4\">virus.VirusInjection</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- subject.Subject&#45;&gt;virus.VirusInjection -->\n",
       "<g class=\"edge\" id=\"edge3\"><title>subject.Subject-&gt;virus.VirusInjection</title>\n",
       "<path d=\"M318.638,-70.9728C339.07,-60.1284 365.694,-45.9969 386.165,-35.1315\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- virus.VirusSource -->\n",
       "<g class=\"node\" id=\"node2\"><title>virus.VirusSource</title>\n",
       "<g id=\"a_node2\"><a xlink:title=\"virus_source         \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"463.5,-177 371.5,-177 371.5,-142 463.5,-142 463.5,-177\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"379.5\" y=\"-158\">virus.VirusSource</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- virus.Virus -->\n",
       "<g class=\"node\" id=\"node7\"><title>virus.Virus</title>\n",
       "<g id=\"a_node7\"><a xlink:title=\"virus                \r",
       "------------------------------\r",
       "→ virus.VirusSource\r",
       "virus_lot_number=&quot;&quot;  \r",
       "virus_titer=null     \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"453,-106 382,-106 382,-71 453,-71 453,-106\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"390\" y=\"-86.4\">virus.Virus</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- virus.VirusSource&#45;&gt;virus.Virus -->\n",
       "<g class=\"edge\" id=\"edge4\"><title>virus.VirusSource-&gt;virus.Virus</title>\n",
       "<path d=\"M417.5,-141.797C417.5,-130.949 417.5,-116.867 417.5,-106.049\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- subject.Species -->\n",
       "<g class=\"node\" id=\"node4\"><title>subject.Species</title>\n",
       "<g id=\"a_node4\"><a xlink:title=\"species              \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"341.5,-177 255.5,-177 255.5,-142 341.5,-142 341.5,-177\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"263.5\" y=\"-158\">subject.Species</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- subject.Species&#45;&gt;subject.Subject -->\n",
       "<g class=\"edge\" id=\"edge5\"><title>subject.Species-&gt;subject.Subject</title>\n",
       "<path d=\"M295.837,-141.797C294.108,-130.949 291.863,-116.867 290.138,-106.049\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- virus.Virus&#45;&gt;virus.VirusInjection -->\n",
       "<g class=\"edge\" id=\"edge6\"><title>virus.Virus-&gt;virus.VirusInjection</title>\n",
       "<path d=\"M417.5,-70.797C417.5,-59.9485 417.5,-45.8669 417.5,-35.0492\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- reference.AnimalSource -->\n",
       "<g class=\"node\" id=\"node8\"><title>reference.AnimalSource</title>\n",
       "<g id=\"a_node8\"><a xlink:title=\"animal_source        \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"237.5,-177 117.5,-177 117.5,-142 237.5,-142 237.5,-177\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"125.5\" y=\"-158\">reference.AnimalSource</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- reference.AnimalSource&#45;&gt;subject.Subject -->\n",
       "<g class=\"edge\" id=\"edge7\"><title>reference.AnimalSource-&gt;subject.Subject</title>\n",
       "<path d=\"M203.848,-141.973C221.136,-131.128 243.664,-116.997 260.986,-106.132\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- subject.Allele -->\n",
       "<g class=\"node\" id=\"node9\"><title>subject.Allele</title>\n",
       "<g id=\"a_node9\"><a xlink:title=\"allele               \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"202,-106 127,-106 127,-71 202,-71 202,-106\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"135\" y=\"-87\">subject.Allele</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- subject.Allele&#45;&gt;subject.Zygosity -->\n",
       "<g class=\"edge\" id=\"edge8\"><title>subject.Allele-&gt;subject.Zygosity</title>\n",
       "<path d=\"M164.5,-70.797C164.5,-59.9485 164.5,-45.8669 164.5,-35.0492\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- subject.Allele&#45;&gt;subject.Subject.Allele -->\n",
       "<g class=\"edge\" id=\"edge9\"><title>subject.Allele-&gt;subject.Subject.Allele</title>\n",
       "<path d=\"M193.962,-70.9728C218.552,-57.178 252.624,-38.0645 272.133,-27.1206\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- subject.AlleleAlias -->\n",
       "<g class=\"node\" id=\"node10\"><title>subject.AlleleAlias</title>\n",
       "<g id=\"a_node10\"><a xlink:title=\"allele_alias         \r",
       "------------------------------\r",
       "→ subject.Allele\r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"97,-35 0,-35 0,-0 97,-0 97,-35\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"8\" y=\"-16\">subject.AlleleAlias</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- subject.Allele&#45;&gt;subject.AlleleAlias -->\n",
       "<g class=\"edge\" id=\"edge10\"><title>subject.Allele-&gt;subject.AlleleAlias</title>\n",
       "<path d=\"M136.715,-70.9728C118.484,-60.1284 94.7267,-45.9969 76.4602,-35.1315\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "</g>\n",
       "</svg>"
      ],
      "text/plain": [
       "<datajoint.diagram.Diagram at 0x26086cf63c8>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dj.Diagram(subject) - 1 + dj.Diagram(virus)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For example, `Subject` table contains information about each and every mouse in the experiment, capturing information such as unique subject ID and animal sourcce."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            .Relation{\n",
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       "            .Relation th{\n",
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       "        <b></b>\n",
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       "            <table border=\"1\" class=\"Relation\">\n",
       "                <thead> <tr style=\"text-align: right;\"> <th> <div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">subject_id</p>\n",
       "                                <span class=\"djtooltiptext\">id of the subject (e.g. ANM244028)</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">species</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">animal_source</p>\n",
       "                                <span class=\"djtooltiptext\">source of the animal, Jax, Charles River etc.</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">sex</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">date_of_birth</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">subject_description</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div> </th> </tr> </thead>\n",
       "                <tbody> <tr> <td>anm101105</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm106211</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm106213</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm131970</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm134333</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm17702</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm211295</td>\n",
       "<td>mus musculus</td>\n",
       "<td>Jackson</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td> </tr> </tbody>\n",
       "            </table>\n",
       "            <p>...</p>\n",
       "            <p>Total: 23</p></div>\n",
       "            "
      ],
      "text/plain": [
       "*subject_id    species        animal_source  sex     date_of_birth  subject_descri\n",
       "+------------+ +------------+ +------------+ +-----+ +------------+ +------------+\n",
       "anm101105      mus musculus   N/A            U       None           None          \n",
       "anm106211      mus musculus   N/A            U       None           None          \n",
       "anm106213      mus musculus   N/A            U       None           None          \n",
       "anm131970      mus musculus   N/A            U       None           None          \n",
       "anm134333      mus musculus   N/A            U       None           None          \n",
       "anm17702       mus musculus   N/A            U       None           None          \n",
       "anm211295      mus musculus   Jackson        U       None           None          \n",
       "   ...\n",
       " (Total: 23)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "subject.Subject()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Experiment acquisition"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Information pertaining to conducting the experiment as well as data and meta-data acquired during the experiment (except for electrophysiology) are found among three schemas: `acquisition`, `stimulation` and `behavior`. Below, tables across all three schemas are depicted in the DataJoint Diagram."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "<g class=\"node\" id=\"node18\"><title>acquisition.TrialSet.EventTime</title>\n",
       "<g id=\"a_node18\"><a xlink:title=\"→ acquisition.TrialSet.Trial\r",
       "→ reference.ExperimentalEvent.proj(trial_event=&quot;event&quot;)\r",
       "------------------------------\r",
       "event_time=null      \r",
       "\">\n",
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       "</a>\n",
       "</g>\n",
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       "<g class=\"edge\" id=\"edge1\"><title>2-&gt;acquisition.TrialSet.EventTime</title>\n",
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       "<g class=\"node\" id=\"node2\"><title>acquisition.ExperimentType</title>\n",
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       "<g class=\"node\" id=\"node20\"><title>acquisition.Session.ExperimentType</title>\n",
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       "</g>\n",
       "<!-- acquisition.ExperimentType&#45;&gt;acquisition.Session.ExperimentType -->\n",
       "<g class=\"edge\" id=\"edge2\"><title>acquisition.ExperimentType-&gt;acquisition.Session.ExperimentType</title>\n",
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       "<!-- acquisition.TrialSet -->\n",
       "<g class=\"node\" id=\"node3\"><title>acquisition.TrialSet</title>\n",
       "<g id=\"a_node3\"><a xlink:title=\"→ acquisition.Session\r",
       "------------------------------\r",
       "trial_counts         \r",
       "\">\n",
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       "</g>\n",
       "<!-- acquisition.TrialSet.Trial -->\n",
       "<g class=\"node\" id=\"node13\"><title>acquisition.TrialSet.Trial</title>\n",
       "<g id=\"a_node13\"><a xlink:title=\"→ acquisition.TrialSet\r",
       "trial_id             \r",
       "------------------------------\r",
       "start_time=null      \r",
       "stop_time=null       \r",
       "→ reference.TrialType\r",
       "→ reference.TrialResponse\r",
       "trial_stim_present   \r",
       "pole_position        \r",
       "\">\n",
       "<polygon fill=\"none\" points=\"609.5,-98 489.5,-98 489.5,-79 609.5,-79 609.5,-98\" stroke=\"none\"/>\n",
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       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.TrialSet&#45;&gt;acquisition.TrialSet.Trial -->\n",
       "<g class=\"edge\" id=\"edge3\"><title>acquisition.TrialSet-&gt;acquisition.TrialSet.Trial</title>\n",
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       "</g>\n",
       "<!-- acquisition.Session -->\n",
       "<g class=\"node\" id=\"node4\"><title>acquisition.Session</title>\n",
       "<g id=\"a_node4\"><a xlink:title=\"→ subject.Subject\r",
       "session_time         \r",
       "session_id           \r",
       "------------------------------\r",
       "session_directory=&quot;&quot; \r",
       "session_note=&quot;&quot;      \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"959,-248 840,-248 840,-213 959,-213 959,-248\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
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       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.Session&#45;&gt;acquisition.TrialSet -->\n",
       "<g class=\"edge\" id=\"edge4\"><title>acquisition.Session-&gt;acquisition.TrialSet</title>\n",
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       "</g>\n",
       "<!-- stimulation.PhotoStimulation -->\n",
       "<g class=\"node\" id=\"node5\"><title>stimulation.PhotoStimulation</title>\n",
       "<g id=\"a_node5\"><a xlink:title=\"→ acquisition.Session\r",
       "photostim_datetime   \r",
       "------------------------------\r",
       "→ reference.ActionLocation\r",
       "→ stimulation.PhotoStimulationProtocol\r",
       "photostim_timeseries=null \r",
       "photostim_start_time=null \r",
       "photostim_sampling_rate=null \r",
       "\">\n",
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       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"29.5\" y=\"-157.4\">stimulation.PhotoStimulation</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.Session&#45;&gt;stimulation.PhotoStimulation -->\n",
       "<g class=\"edge\" id=\"edge5\"><title>acquisition.Session-&gt;stimulation.PhotoStimulation</title>\n",
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       "</g>\n",
       "<!-- behavior.Behavior -->\n",
       "<g class=\"node\" id=\"node14\"><title>behavior.Behavior</title>\n",
       "<g id=\"a_node14\"><a xlink:title=\"→ acquisition.Session\r",
       "------------------------------\r",
       "theta_at_base=null   \r",
       "amplitude=null       \r",
       "phase=null           \r",
       "set_point=null       \r",
       "theta_filt=null      \r",
       "delta_kappa=null     \r",
       "touch_onset=null     \r",
       "touch_offset=null    \r",
       "distance_to_pole=null \r",
       "pole_available=null  \r",
       "beam_break_times=null \r",
       "behavior_timestamps=null \r",
       "\">\n",
       "<ellipse cx=\"783.5\" cy=\"-88.5\" fill=\"#00007f\" fill-opacity=\"0.250980\" rx=\"69.2502\" ry=\"17.5\" stroke=\"#00007f\" stroke-opacity=\"0.250980\"/>\n",
       "<text fill=\"#00007f\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"783.5\" y=\"-85.4\">behavior.Behavior</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.Session&#45;&gt;behavior.Behavior -->\n",
       "<g class=\"edge\" id=\"edge6\"><title>acquisition.Session-&gt;behavior.Behavior</title>\n",
       "<path d=\"M856.601,-212.787C839.803,-204.326 821.679,-192.506 809.5,-177 793.153,-156.187 787.07,-125.292 784.815,-106.327\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"2\"/>\n",
       "</g>\n",
       "<!-- acquisition.Session.Experimenter -->\n",
       "<g class=\"node\" id=\"node15\"><title>acquisition.Session.Experimenter</title>\n",
       "<g id=\"a_node15\"><a xlink:title=\"→ acquisition.Session\r",
       "→ reference.Experimenter\r",
       "\">\n",
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       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"middle\" x=\"899.5\" y=\"-157\">acquisition.Session.Experimenter</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.Session&#45;&gt;acquisition.Session.Experimenter -->\n",
       "<g class=\"edge\" id=\"edge7\"><title>acquisition.Session-&gt;acquisition.Session.Experimenter</title>\n",
       "<path d=\"M899.5,-212.797C899.5,-199.077 899.5,-180.185 899.5,-169.265\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- acquisition.Session&#45;&gt;acquisition.Session.ExperimentType -->\n",
       "<g class=\"edge\" id=\"edge8\"><title>acquisition.Session-&gt;acquisition.Session.ExperimentType</title>\n",
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       "</g>\n",
       "<!-- stimulation.TrialSegmentedPhotoStimulus -->\n",
       "<g class=\"node\" id=\"node6\"><title>stimulation.TrialSegmentedPhotoStimulus</title>\n",
       "<g id=\"a_node6\"><a xlink:title=\"→ stimulation.PhotoStimulation\r",
       "→ acquisition.TrialSet.Trial\r",
       "→ analysis.TrialSegmentationSetting\r",
       "------------------------------\r",
       "segmented_photostim  \r",
       "\">\n",
       "<ellipse cx=\"143.5\" cy=\"-17.5\" fill=\"#ff0000\" fill-opacity=\"0.125490\" rx=\"13\" ry=\"13\" stroke=\"#ff0000\" stroke-opacity=\"0.125490\"/>\n",
       "<text fill=\"#7f0000\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"143.5\" y=\"-14.4\">stimulation.TrialSegmentedPhotoStimulus</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- stimulation.PhotoStimulation&#45;&gt;stimulation.TrialSegmentedPhotoStimulus -->\n",
       "<g class=\"edge\" id=\"edge9\"><title>stimulation.PhotoStimulation-&gt;stimulation.TrialSegmentedPhotoStimulus</title>\n",
       "<path d=\"M108.246,-141.89C116.441,-113.208 133.048,-55.0808 140.153,-30.2143\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- subject.Subject -->\n",
       "<g class=\"node\" id=\"node7\"><title>subject.Subject</title>\n",
       "<g id=\"a_node7\"><a xlink:title=\"subject_id           \r",
       "------------------------------\r",
       "→ subject.Species\r",
       "→ reference.AnimalSource\r",
       "sex=&quot;U&quot;              \r",
       "date_of_birth=null   \r",
       "subject_description=null \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"947,-319 852,-319 852,-284 947,-284 947,-319\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"860\" y=\"-299.4\">subject.Subject</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- subject.Subject&#45;&gt;acquisition.Session -->\n",
       "<g class=\"edge\" id=\"edge10\"><title>subject.Subject-&gt;acquisition.Session</title>\n",
       "<path d=\"M899.5,-283.797C899.5,-272.949 899.5,-258.867 899.5,-248.049\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- stimulation.PhotoStimDevice -->\n",
       "<g class=\"node\" id=\"node8\"><title>stimulation.PhotoStimDevice</title>\n",
       "<g id=\"a_node8\"><a xlink:title=\"device_name          \r",
       "------------------------------\r",
       "device_desc=&quot;&quot;       \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"174,-319 33,-319 33,-284 174,-284 174,-319\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"41\" y=\"-300\">stimulation.PhotoStimDevice</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- stimulation.PhotoStimulationProtocol -->\n",
       "<g class=\"node\" id=\"node9\"><title>stimulation.PhotoStimulationProtocol</title>\n",
       "<g id=\"a_node9\"><a xlink:title=\"protocol             \r",
       "------------------------------\r",
       "→ stimulation.PhotoStimDevice\r",
       "photo_stim_excitation_lambda \r",
       "photo_stim_method=&quot;laser&quot; \r",
       "photo_stim_duration=null \r",
       "photo_stim_shape=&quot;&quot;  \r",
       "photo_stim_freq=null \r",
       "photo_stim_notes=&quot;&quot;  \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"207,-248 0,-248 0,-213 207,-213 207,-248\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"8\" y=\"-228.4\">stimulation.PhotoStimulationProtocol</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- stimulation.PhotoStimDevice&#45;&gt;stimulation.PhotoStimulationProtocol -->\n",
       "<g class=\"edge\" id=\"edge11\"><title>stimulation.PhotoStimDevice-&gt;stimulation.PhotoStimulationProtocol</title>\n",
       "<path d=\"M103.5,-283.797C103.5,-272.949 103.5,-258.867 103.5,-248.049\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- stimulation.PhotoStimulationProtocol&#45;&gt;stimulation.PhotoStimulation -->\n",
       "<g class=\"edge\" id=\"edge12\"><title>stimulation.PhotoStimulationProtocol-&gt;stimulation.PhotoStimulation</title>\n",
       "<path d=\"M103.5,-212.797C103.5,-201.949 103.5,-187.867 103.5,-177.049\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- reference.TrialType -->\n",
       "<g class=\"node\" id=\"node10\"><title>reference.TrialType</title>\n",
       "<g id=\"a_node10\"><a xlink:title=\"trial_type           \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"459.5,-177 361.5,-177 361.5,-142 459.5,-142 459.5,-177\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"369.5\" y=\"-158\">reference.TrialType</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- reference.TrialType&#45;&gt;acquisition.TrialSet.Trial -->\n",
       "<g class=\"edge\" id=\"edge13\"><title>reference.TrialType-&gt;acquisition.TrialSet.Trial</title>\n",
       "<path d=\"M443.794,-141.973C471.583,-128.178 510.088,-109.064 532.134,-98.1206\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- reference.ExperimentalEvent -->\n",
       "<g class=\"node\" id=\"node11\"><title>reference.ExperimentalEvent</title>\n",
       "<g id=\"a_node11\"><a xlink:title=\"event                \r",
       "------------------------------\r",
       "description          \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"343.5,-177 203.5,-177 203.5,-142 343.5,-142 343.5,-177\" stroke=\"none\"/>\n",
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       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- reference.ExperimentalEvent&#45;&gt;2 -->\n",
       "<g class=\"edge\" id=\"edge14\"><title>reference.ExperimentalEvent-&gt;2</title>\n",
       "<path d=\"M273.5,-141.797C273.5,-123.929 273.5,-97.2901 273.5,-90.9096\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- analysis.TrialSegmentationSetting -->\n",
       "<g class=\"node\" id=\"node19\"><title>analysis.TrialSegmentationSetting</title>\n",
       "<g id=\"a_node19\"><a xlink:title=\"trial_seg_setting    \r",
       "------------------------------\r",
       "→ reference.ExperimentalEvent\r",
       "pre_stim_duration    \r",
       "post_stim_duration   \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"464.5,-106 300.5,-106 300.5,-71 464.5,-71 464.5,-106\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"middle\" x=\"382.5\" y=\"-86\">analysis.TrialSegmentationSetting</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- reference.ExperimentalEvent&#45;&gt;analysis.TrialSegmentationSetting -->\n",
       "<g class=\"edge\" id=\"edge15\"><title>reference.ExperimentalEvent-&gt;analysis.TrialSegmentationSetting</title>\n",
       "<path d=\"M299.608,-141.973C316.739,-131.128 339.063,-116.997 356.227,-106.132\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- stimulation.TrialPhotoStimInfo -->\n",
       "<g class=\"node\" id=\"node12\"><title>stimulation.TrialPhotoStimInfo</title>\n",
       "<g id=\"a_node12\"><a xlink:title=\"→ acquisition.TrialSet.Trial\r",
       "------------------------------\r",
       "photo_stim_period    \r",
       "photo_stim_power=null \r",
       "\">\n",
       "<ellipse cx=\"549.5\" cy=\"-17.5\" fill=\"#00007f\" fill-opacity=\"0.250980\" rx=\"106.001\" ry=\"17.5\" stroke=\"#00007f\" stroke-opacity=\"0.250980\"/>\n",
       "<text fill=\"#00007f\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"549.5\" y=\"-14.4\">stimulation.TrialPhotoStimInfo</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.TrialSet.Trial&#45;&gt;stimulation.TrialSegmentedPhotoStimulus -->\n",
       "<g class=\"edge\" id=\"edge16\"><title>acquisition.TrialSet.Trial-&gt;stimulation.TrialSegmentedPhotoStimulus</title>\n",
       "<path d=\"M512.088,-78.9415C499.822,-76.2523 486.106,-73.3692 473.5,-71 350.635,-47.9081 200.779,-26.4909 156.439,-20.2923\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- acquisition.TrialSet.Trial&#45;&gt;stimulation.TrialPhotoStimInfo -->\n",
       "<g class=\"edge\" id=\"edge17\"><title>acquisition.TrialSet.Trial-&gt;stimulation.TrialPhotoStimInfo</title>\n",
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       "</g>\n",
       "<!-- acquisition.TrialSet.Trial&#45;&gt;acquisition.TrialSet.EventTime -->\n",
       "<g class=\"edge\" id=\"edge18\"><title>acquisition.TrialSet.Trial-&gt;acquisition.TrialSet.EventTime</title>\n",
       "<path d=\"M524.824,-78.9006C486.778,-65.6423 414.221,-40.3573 376.176,-27.0991\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- behavior.TrialSegmentedBehavior -->\n",
       "<g class=\"node\" id=\"node21\"><title>behavior.TrialSegmentedBehavior</title>\n",
       "<g id=\"a_node21\"><a xlink:title=\"→ behavior.Behavior\r",
       "→ acquisition.TrialSet.Trial\r",
       "→ analysis.TrialSegmentationSetting\r",
       "------------------------------\r",
       "segmented_theta_at_base=null \r",
       "segmented_amplitude=null \r",
       "segmented_phase=null \r",
       "segmented_set_point=null \r",
       "segmented_theta_filt=null \r",
       "segmented_delta_kappa=null \r",
       "segmented_touch_onset=null \r",
       "segmented_touch_offset=null \r",
       "segmented_distance_to_pole=null \r",
       "segmented_pole_available=null \r",
       "segmented_beam_break_times=null \r",
       "segmented_behavior_timestamps=null \r",
       "\">\n",
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       "<text fill=\"#7f0000\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"770.5\" y=\"-14.4\">behavior.TrialSegmentedBehavior</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.TrialSet.Trial&#45;&gt;behavior.TrialSegmentedBehavior -->\n",
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       "<g class=\"edge\" id=\"edge20\"><title>behavior.Behavior-&gt;behavior.TrialSegmentedBehavior</title>\n",
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       "<!-- reference.TrialResponse -->\n",
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       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- reference.TrialResponse&#45;&gt;acquisition.TrialSet.Trial -->\n",
       "<g class=\"edge\" id=\"edge21\"><title>reference.TrialResponse-&gt;acquisition.TrialSet.Trial</title>\n",
       "<path d=\"M541.163,-141.797C543.35,-128.077 546.362,-109.185 548.103,-98.2652\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- reference.Experimenter -->\n",
       "<g class=\"node\" id=\"node17\"><title>reference.Experimenter</title>\n",
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       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- reference.Experimenter&#45;&gt;acquisition.Session.Experimenter -->\n",
       "<g class=\"edge\" id=\"edge22\"><title>reference.Experimenter-&gt;acquisition.Session.Experimenter</title>\n",
       "<path d=\"M1002.92,-212.973C975.735,-199.178 938.062,-180.064 916.491,-169.121\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- analysis.TrialSegmentationSetting&#45;&gt;stimulation.TrialSegmentedPhotoStimulus -->\n",
       "<g class=\"edge\" id=\"edge23\"><title>analysis.TrialSegmentationSetting-&gt;stimulation.TrialSegmentedPhotoStimulus</title>\n",
       "<path d=\"M325.254,-70.9728C268.91,-54.7061 186.949,-31.0437 155.977,-22.102\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
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      "text/plain": [
       "<datajoint.diagram.Diagram at 0x26086c855c0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dj.Diagram(acquisition) - 1 + dj.Diagram(stimulation) + dj.Diagram(behavior)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Session` tables contains information about individual experiment session."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "                <thead> <tr style=\"text-align: right;\"> <th> <div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">subject_id</p>\n",
       "                                <span class=\"djtooltiptext\">id of the subject (e.g. ANM244028)</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">session_time</p>\n",
       "                                <span class=\"djtooltiptext\">session time</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">session_id</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">species</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">animal_source</p>\n",
       "                                <span class=\"djtooltiptext\">source of the animal, Jax, Charles River etc.</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">sex</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">date_of_birth</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">subject_description</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div> </th> </tr> </thead>\n",
       "                <tbody> <tr> <td>anm101105</td>\n",
       "<td>2010-06-19 00:00:00</td>\n",
       "<td>Cell46</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm101105</td>\n",
       "<td>2010-06-20 00:00:00</td>\n",
       "<td>Cell47</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm101105</td>\n",
       "<td>2010-06-21 00:00:00</td>\n",
       "<td>Cell48</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm106211</td>\n",
       "<td>2010-09-25 00:00:00</td>\n",
       "<td>Cell17</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm106213</td>\n",
       "<td>2010-08-22 00:00:00</td>\n",
       "<td>Cell49</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm106213</td>\n",
       "<td>2010-12-14 00:00:00</td>\n",
       "<td>Cell50</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td></tr><tr><td>anm106213</td>\n",
       "<td>2010-12-15 00:00:00</td>\n",
       "<td>Cell32</td>\n",
       "<td>mus musculus</td>\n",
       "<td>N/A</td>\n",
       "<td>U</td>\n",
       "<td>None</td>\n",
       "<td>None</td> </tr> </tbody>\n",
       "            </table>\n",
       "            <p>...</p>\n",
       "            <p>Total: 52</p></div>\n",
       "            "
      ],
      "text/plain": [
       "*subject_id    *session_time  *session_id    species        animal_source  sex     date_of_birth  subject_descri\n",
       "+------------+ +------------+ +------------+ +------------+ +------------+ +-----+ +------------+ +------------+\n",
       "anm101105      2010-06-19 00: Cell46         mus musculus   N/A            U       None           None          \n",
       "anm101105      2010-06-20 00: Cell47         mus musculus   N/A            U       None           None          \n",
       "anm101105      2010-06-21 00: Cell48         mus musculus   N/A            U       None           None          \n",
       "anm106211      2010-09-25 00: Cell17         mus musculus   N/A            U       None           None          \n",
       "anm106213      2010-08-22 00: Cell49         mus musculus   N/A            U       None           None          \n",
       "anm106213      2010-12-14 00: Cell50         mus musculus   N/A            U       None           None          \n",
       "anm106213      2010-12-15 00: Cell32         mus musculus   N/A            U       None           None          \n",
       "   ...\n",
       " (Total: 52)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acquisition.Session.proj() * subject.Subject"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Trial` table (found as part table of `TrialSet`) contains information about each trial."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            .Relation td{\n",
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       "            .Relation tr:nth-child(odd){\n",
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       "        </style>\n",
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       "            <table border=\"1\" class=\"Relation\">\n",
       "                <thead> <tr style=\"text-align: right;\"> <th> <div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">subject_id</p>\n",
       "                                <span class=\"djtooltiptext\">id of the subject (e.g. ANM244028)</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">session_time</p>\n",
       "                                <span class=\"djtooltiptext\">session time</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">session_id</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">trial_id</p>\n",
       "                                <span class=\"djtooltiptext\">id of this trial in this trial set</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">start_time</p>\n",
       "                                <span class=\"djtooltiptext\">start time of this trial, with respect to starting point of this session</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">stop_time</p>\n",
       "                                <span class=\"djtooltiptext\">end time of this trial, with respect to starting point of this session</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">trial_type</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">trial_response</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">trial_stim_present</p>\n",
       "                                <span class=\"djtooltiptext\">is this a stim or no-stim trial</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">pole_position</p>\n",
       "                                <span class=\"djtooltiptext\">(um)  the location of the pole along the anteroposterior axis of the animal</span>\n",
       "                            </div> </th> </tr> </thead>\n",
       "                <tbody> <tr> <td>anm101105</td>\n",
       "<td>2010-06-19 00:00:00</td>\n",
       "<td>Cell46</td>\n",
       "<td>13</td>\n",
       "<td>0.0001</td>\n",
       "<td>4.501</td>\n",
       "<td>Nogo</td>\n",
       "<td>CR</td>\n",
       "<td>0</td>\n",
       "<td>10912.0</td></tr><tr><td>anm101105</td>\n",
       "<td>2010-06-19 00:00:00</td>\n",
       "<td>Cell46</td>\n",
       "<td>14</td>\n",
       "<td>5.32676</td>\n",
       "<td>9.82766</td>\n",
       "<td>Go</td>\n",
       "<td>Hit</td>\n",
       "<td>0</td>\n",
       "<td>4960.0</td></tr><tr><td>anm101105</td>\n",
       "<td>2010-06-19 00:00:00</td>\n",
       "<td>Cell46</td>\n",
       "<td>15</td>\n",
       "<td>12.1176</td>\n",
       "<td>16.6185</td>\n",
       "<td>Nogo</td>\n",
       "<td>CR</td>\n",
       "<td>0</td>\n",
       "<td>10912.0</td></tr><tr><td>anm101105</td>\n",
       "<td>2010-06-19 00:00:00</td>\n",
       "<td>Cell46</td>\n",
       "<td>16</td>\n",
       "<td>17.4474</td>\n",
       "<td>21.9483</td>\n",
       "<td>Go</td>\n",
       "<td>Miss</td>\n",
       "<td>0</td>\n",
       "<td>4960.0</td></tr><tr><td>anm101105</td>\n",
       "<td>2010-06-19 00:00:00</td>\n",
       "<td>Cell46</td>\n",
       "<td>17</td>\n",
       "<td>22.7742</td>\n",
       "<td>27.2751</td>\n",
       "<td>Nogo</td>\n",
       "<td>CR</td>\n",
       "<td>0</td>\n",
       "<td>10912.0</td></tr><tr><td>anm101105</td>\n",
       "<td>2010-06-19 00:00:00</td>\n",
       "<td>Cell46</td>\n",
       "<td>18</td>\n",
       "<td>28.1198</td>\n",
       "<td>32.6207</td>\n",
       "<td>Go</td>\n",
       "<td>Hit</td>\n",
       "<td>0</td>\n",
       "<td>4960.0</td></tr><tr><td>anm101105</td>\n",
       "<td>2010-06-19 00:00:00</td>\n",
       "<td>Cell46</td>\n",
       "<td>19</td>\n",
       "<td>34.89</td>\n",
       "<td>39.3909</td>\n",
       "<td>Go</td>\n",
       "<td>Hit</td>\n",
       "<td>0</td>\n",
       "<td>4960.0</td> </tr> </tbody>\n",
       "            </table>\n",
       "            <p>...</p>\n",
       "            <p>Total: 5978</p></div>\n",
       "            "
      ],
      "text/plain": [
       "*subject_id    *session_time  *session_id    *trial_id    start_time     stop_time     trial_type     trial_response trial_stim_pre pole_position \n",
       "+------------+ +------------+ +------------+ +----------+ +------------+ +-----------+ +------------+ +------------+ +------------+ +------------+\n",
       "anm101105      2010-06-19 00: Cell46         13           0.0001         4.501         Nogo           CR             0              10912.0       \n",
       "anm101105      2010-06-19 00: Cell46         14           5.32676        9.82766       Go             Hit            0              4960.0        \n",
       "anm101105      2010-06-19 00: Cell46         15           12.1176        16.6185       Nogo           CR             0              10912.0       \n",
       "anm101105      2010-06-19 00: Cell46         16           17.4474        21.9483       Go             Miss           0              4960.0        \n",
       "anm101105      2010-06-19 00: Cell46         17           22.7742        27.2751       Nogo           CR             0              10912.0       \n",
       "anm101105      2010-06-19 00: Cell46         18           28.1198        32.6207       Go             Hit            0              4960.0        \n",
       "anm101105      2010-06-19 00: Cell46         19           34.89          39.3909       Go             Hit            0              4960.0        \n",
       "   ...\n",
       " (Total: 5978)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "acquisition.TrialSet.Trial()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Electrophysiology"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Electrophysiology information are in the `intracellular` schema"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<title>%3</title>\n",
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       "<!-- acquisition.Session -->\n",
       "<g class=\"node\" id=\"node1\"><title>acquisition.Session</title>\n",
       "<g id=\"a_node1\"><a xlink:title=\"→ subject.Subject\r",
       "session_time         \r",
       "session_id           \r",
       "------------------------------\r",
       "session_directory=&quot;&quot; \r",
       "session_note=&quot;&quot;      \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"429.5,-239 310.5,-239 310.5,-204 429.5,-204 429.5,-239\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"318.5\" y=\"-219.4\">acquisition.Session</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- intracellular.Cell -->\n",
       "<g class=\"node\" id=\"node4\"><title>intracellular.Cell</title>\n",
       "<g id=\"a_node4\"><a xlink:title=\"→ acquisition.Session\r",
       "cell_id              \r",
       "------------------------------\r",
       "cell_type            \r",
       "→ reference.BrainLocation\r",
       "recording_depth      \r",
       "→ reference.WholeCellDevice\r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"275,-168 177,-168 177,-133 275,-133 275,-168\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"185\" y=\"-148.4\">intracellular.Cell</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.Session&#45;&gt;intracellular.Cell -->\n",
       "<g class=\"edge\" id=\"edge1\"><title>acquisition.Session-&gt;intracellular.Cell</title>\n",
       "<path d=\"M335.508,-203.973C312.877,-193.128 283.385,-178.997 260.709,-168.132\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- acquisition.TrialSet -->\n",
       "<g class=\"node\" id=\"node11\"><title>acquisition.TrialSet</title>\n",
       "<g id=\"a_node11\"><a xlink:title=\"→ acquisition.Session\r",
       "------------------------------\r",
       "trial_counts         \r",
       "\">\n",
       "<ellipse cx=\"370\" cy=\"-150.5\" fill=\"#00007f\" fill-opacity=\"0.250980\" rx=\"72.5\" ry=\"17.5\" stroke=\"#00007f\" stroke-opacity=\"0.250980\"/>\n",
       "<text fill=\"#00007f\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"370\" y=\"-147.4\">acquisition.TrialSet</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.Session&#45;&gt;acquisition.TrialSet -->\n",
       "<g class=\"edge\" id=\"edge2\"><title>acquisition.Session-&gt;acquisition.TrialSet</title>\n",
       "<path d=\"M370,-203.797C370,-192.949 370,-178.867 370,-168.049\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"2\"/>\n",
       "</g>\n",
       "<!-- reference.WholeCellDevice -->\n",
       "<g class=\"node\" id=\"node2\"><title>reference.WholeCellDevice</title>\n",
       "<g id=\"a_node2\"><a xlink:title=\"device_name          \r",
       "------------------------------\r",
       "device_desc=&quot;&quot;       \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"292,-239 160,-239 160,-204 292,-204 292,-239\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"168\" y=\"-220\">reference.WholeCellDevice</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- reference.WholeCellDevice&#45;&gt;intracellular.Cell -->\n",
       "<g class=\"edge\" id=\"edge3\"><title>reference.WholeCellDevice-&gt;intracellular.Cell</title>\n",
       "<path d=\"M226,-203.797C226,-192.949 226,-178.867 226,-168.049\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- intracellular.MembranePotential -->\n",
       "<g class=\"node\" id=\"node3\"><title>intracellular.MembranePotential</title>\n",
       "<g id=\"a_node3\"><a xlink:title=\"→ intracellular.Cell\r",
       "------------------------------\r",
       "membrane_potential   \r",
       "membrane_potential_timestamps \r",
       "\">\n",
       "<ellipse cx=\"179\" cy=\"-79.5\" fill=\"#00007f\" fill-opacity=\"0.250980\" rx=\"112.5\" ry=\"17.5\" stroke=\"#00007f\" stroke-opacity=\"0.250980\"/>\n",
       "<text fill=\"#00007f\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"179\" y=\"-76.4\">intracellular.MembranePotential</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- intracellular.TrialSegmentedMembranePotential -->\n",
       "<g class=\"node\" id=\"node9\"><title>intracellular.TrialSegmentedMembranePotential</title>\n",
       "<g id=\"a_node9\"><a xlink:title=\"→ intracellular.MembranePotential\r",
       "→ acquisition.TrialSet.Trial\r",
       "→ analysis.TrialSegmentationSetting\r",
       "------------------------------\r",
       "segmented_mp=null    \r",
       "segmented_mp_timestamps=null \r",
       "\">\n",
       "<ellipse cx=\"320\" cy=\"-13\" fill=\"#ff0000\" fill-opacity=\"0.125490\" rx=\"13\" ry=\"13\" stroke=\"#ff0000\" stroke-opacity=\"0.125490\"/>\n",
       "<text fill=\"#7f0000\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"320\" y=\"-9.9\">intracellular.TrialSegmentedMembranePotential</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- intracellular.MembranePotential&#45;&gt;intracellular.TrialSegmentedMembranePotential -->\n",
       "<g class=\"edge\" id=\"edge4\"><title>intracellular.MembranePotential-&gt;intracellular.TrialSegmentedMembranePotential</title>\n",
       "<path d=\"M213.492,-62.7215C244.31,-48.6239 287.677,-28.7862 308.265,-19.368\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- intracellular.Cell&#45;&gt;intracellular.MembranePotential -->\n",
       "<g class=\"edge\" id=\"edge5\"><title>intracellular.Cell-&gt;intracellular.MembranePotential</title>\n",
       "<path d=\"M214.623,-132.797C207.233,-121.949 197.641,-107.867 190.273,-97.0492\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"2\"/>\n",
       "</g>\n",
       "<!-- intracellular.SpikeTrain -->\n",
       "<g class=\"node\" id=\"node6\"><title>intracellular.SpikeTrain</title>\n",
       "<g id=\"a_node6\"><a xlink:title=\"→ intracellular.Cell\r",
       "------------------------------\r",
       "spike_train          \r",
       "spike_timestamps     \r",
       "\">\n",
       "<ellipse cx=\"714\" cy=\"-79.5\" fill=\"#00007f\" fill-opacity=\"0.250980\" rx=\"84.2502\" ry=\"17.5\" stroke=\"#00007f\" stroke-opacity=\"0.250980\"/>\n",
       "<text fill=\"#00007f\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"714\" y=\"-76.4\">intracellular.SpikeTrain</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- intracellular.Cell&#45;&gt;intracellular.SpikeTrain -->\n",
       "<g class=\"edge\" id=\"edge6\"><title>intracellular.Cell-&gt;intracellular.SpikeTrain</title>\n",
       "<path d=\"M275.255,-135.667C279.547,-134.682 283.839,-133.774 288,-133 434.352,-105.779 473.628,-118.015 621,-97 631.552,-95.4953 642.741,-93.691 653.563,-91.8362\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"2\"/>\n",
       "</g>\n",
       "<!-- intracellular.TrialSegmentedSpikeTrain -->\n",
       "<g class=\"node\" id=\"node5\"><title>intracellular.TrialSegmentedSpikeTrain</title>\n",
       "<g id=\"a_node5\"><a xlink:title=\"→ intracellular.SpikeTrain\r",
       "→ acquisition.TrialSet.Trial\r",
       "→ analysis.TrialSegmentationSetting\r",
       "------------------------------\r",
       "segmented_spike_train=null \r",
       "segmented_spike_timestamps \r",
       "\">\n",
       "<ellipse cx=\"579\" cy=\"-13\" fill=\"#ff0000\" fill-opacity=\"0.125490\" rx=\"13\" ry=\"13\" stroke=\"#ff0000\" stroke-opacity=\"0.125490\"/>\n",
       "<text fill=\"#7f0000\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"579\" y=\"-9.9\">intracellular.TrialSegmentedSpikeTrain</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- intracellular.SpikeTrain&#45;&gt;intracellular.TrialSegmentedSpikeTrain -->\n",
       "<g class=\"edge\" id=\"edge7\"><title>intracellular.SpikeTrain-&gt;intracellular.TrialSegmentedSpikeTrain</title>\n",
       "<path d=\"M682.007,-63.2144C652.534,-49.1328 610.435,-29.0188 590.417,-19.4549\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- reference.BrainLocation -->\n",
       "<g class=\"node\" id=\"node7\"><title>reference.BrainLocation</title>\n",
       "<g id=\"a_node7\"><a xlink:title=\"brain_region         \r",
       "brain_subregion=&quot;N/A&quot; \r",
       "→ reference.CorticalLayer\r",
       "→ reference.Hemisphere\r",
       "------------------------------\r",
       "brain_location_full_name=&quot;N/A&quot; \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"142,-239 0,-239 0,-204 142,-204 142,-239\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"8\" y=\"-219.4\">reference.BrainLocation</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- reference.BrainLocation&#45;&gt;intracellular.Cell -->\n",
       "<g class=\"edge\" id=\"edge8\"><title>reference.BrainLocation-&gt;intracellular.Cell</title>\n",
       "<path d=\"M108.126,-203.973C132.577,-193.088 164.465,-178.893 188.908,-168.012\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- acquisition.TrialSet.Trial -->\n",
       "<g class=\"node\" id=\"node8\"><title>acquisition.TrialSet.Trial</title>\n",
       "<g id=\"a_node8\"><a xlink:title=\"→ acquisition.TrialSet\r",
       "trial_id             \r",
       "------------------------------\r",
       "start_time=null      \r",
       "stop_time=null       \r",
       "→ reference.TrialType\r",
       "→ reference.TrialResponse\r",
       "trial_stim_present   \r",
       "pole_position        \r",
       "\">\n",
       "<polygon fill=\"none\" points=\"430,-89 310,-89 310,-70 430,-70 430,-89\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"318\" y=\"-78\">acquisition.TrialSet.Trial</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.TrialSet.Trial&#45;&gt;intracellular.TrialSegmentedSpikeTrain -->\n",
       "<g class=\"edge\" id=\"edge9\"><title>acquisition.TrialSet.Trial-&gt;intracellular.TrialSegmentedSpikeTrain</title>\n",
       "<path d=\"M397.754,-69.9349C443.724,-55.7479 533.855,-27.9324 566.674,-17.804\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- acquisition.TrialSet.Trial&#45;&gt;intracellular.TrialSegmentedMembranePotential -->\n",
       "<g class=\"edge\" id=\"edge10\"><title>acquisition.TrialSet.Trial-&gt;intracellular.TrialSegmentedMembranePotential</title>\n",
       "<path d=\"M363.257,-69.8012C353.98,-57.8348 337.331,-36.3565 327.616,-23.8247\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- analysis.TrialSegmentationSetting -->\n",
       "<g class=\"node\" id=\"node10\"><title>analysis.TrialSegmentationSetting</title>\n",
       "<g id=\"a_node10\"><a xlink:title=\"trial_seg_setting    \r",
       "------------------------------\r",
       "→ reference.ExperimentalEvent\r",
       "pre_stim_duration    \r",
       "post_stim_duration   \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"612,-97 448,-97 448,-62 612,-62 612,-97\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"456\" y=\"-78\">analysis.TrialSegmentationSetting</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- analysis.TrialSegmentationSetting&#45;&gt;intracellular.TrialSegmentedSpikeTrain -->\n",
       "<g class=\"edge\" id=\"edge11\"><title>analysis.TrialSegmentationSetting-&gt;intracellular.TrialSegmentedSpikeTrain</title>\n",
       "<path d=\"M542.619,-61.8896C551.806,-49.796 563.935,-33.8309 571.603,-23.7371\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- analysis.TrialSegmentationSetting&#45;&gt;intracellular.TrialSegmentedMembranePotential -->\n",
       "<g class=\"edge\" id=\"edge12\"><title>analysis.TrialSegmentationSetting-&gt;intracellular.TrialSegmentedMembranePotential</title>\n",
       "<path d=\"M476.192,-61.9734C427.583,-47.0434 359.594,-26.1609 332.174,-17.7392\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- acquisition.TrialSet&#45;&gt;acquisition.TrialSet.Trial -->\n",
       "<g class=\"edge\" id=\"edge13\"><title>acquisition.TrialSet-&gt;acquisition.TrialSet.Trial</title>\n",
       "<path d=\"M370,-132.797C370,-119.077 370,-100.185 370,-89.2652\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "</g>\n",
       "</svg>"
      ],
      "text/plain": [
       "<datajoint.diagram.Diagram at 0x20ec0552b38>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dj.Diagram(intracellular) - 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As an example of intracellular recording, the `intracellular.Cell` table contains information of all the recorded cell (e.g. which brain region, cell depth, cell type, etc.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        \n",
       "        <style type=\"text/css\">\n",
       "            .Relation{\n",
       "                border-collapse:collapse;\n",
       "            }\n",
       "            .Relation th{\n",
       "                background: #A0A0A0; color: #ffffff; padding:4px; border:#f0e0e0 1px solid;\n",
       "                font-weight: normal; font-family: monospace; font-size: 100%;\n",
       "            }\n",
       "            .Relation td{\n",
       "                padding:4px; border:#f0e0e0 1px solid; font-size:100%;\n",
       "            }\n",
       "            .Relation tr:nth-child(odd){\n",
       "                background: #ffffff;\n",
       "            }\n",
       "            .Relation tr:nth-child(even){\n",
       "                background: #f3f1ff;\n",
       "            }\n",
       "            /* Tooltip container */\n",
       "            .djtooltip {\n",
       "            }\n",
       "            /* Tooltip text */\n",
       "            .djtooltip .djtooltiptext {\n",
       "                visibility: hidden;\n",
       "                width: 120px;\n",
       "                background-color: black;\n",
       "                color: #fff;\n",
       "                text-align: center;\n",
       "                padding: 5px 0;\n",
       "                border-radius: 6px;\n",
       "                /* Position the tooltip text - see examples below! */\n",
       "                position: absolute;\n",
       "                z-index: 1;\n",
       "            }\n",
       "            #primary {\n",
       "                font-weight: bold;\n",
       "                color: black;\n",
       "            }\n",
       "\n",
       "            #nonprimary {\n",
       "                font-weight: normal;\n",
       "                color: white;\n",
       "            }\n",
       "\n",
       "            /* Show the tooltip text when you mouse over the tooltip container */\n",
       "            .djtooltip:hover .djtooltiptext {\n",
       "                visibility: visible;\n",
       "            }\n",
       "        </style>\n",
       "        \n",
       "        \n",
       "            <div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
       "            <table border=\"1\" class=\"Relation\">\n",
       "                <thead> <tr style=\"text-align: right;\"> <th> <div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">subject_id</p>\n",
       "                                <span class=\"djtooltiptext\">id of the subject (e.g. ANM244028)</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">session_time</p>\n",
       "                                <span class=\"djtooltiptext\">session time</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">session_id</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">cell_id</p>\n",
       "                                <span class=\"djtooltiptext\">a string identifying the cell in which this intracellular recording is concerning</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">brain_region</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">brain_subregion</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">cortical_layer</p>\n",
       "                                <span class=\"djtooltiptext\">layer within cortex</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"primary\">hemisphere</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">cell_type</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">recording_depth</p>\n",
       "                                <span class=\"djtooltiptext\">(um)</span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">device_name</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div></th><th><div class=\"djtooltip\">\n",
       "                                <p id=\"nonprimary\">brain_location_full_name</p>\n",
       "                                <span class=\"djtooltiptext\"></span>\n",
       "                            </div> </th> </tr> </thead>\n",
       "                <tbody> <tr> <td>anm106211</td>\n",
       "<td>2010-09-25 00:00:00</td>\n",
       "<td>Cell17</td>\n",
       "<td>AH0062_AAAA</td>\n",
       "<td>barrel</td>\n",
       "<td>C2</td>\n",
       "<td>4</td>\n",
       "<td>left</td>\n",
       "<td>excitatory</td>\n",
       "<td>528.00</td>\n",
       "<td>Borosilicate glass</td>\n",
       "<td>S1, barrel field, Paxinos</td></tr><tr><td>anm17702</td>\n",
       "<td>2010-05-07 00:00:00</td>\n",
       "<td>Cell27</td>\n",
       "<td>AH0026_AAAA</td>\n",
       "<td>barrel</td>\n",
       "<td>C2</td>\n",
       "<td>4</td>\n",
       "<td>left</td>\n",
       "<td>excitatory</td>\n",
       "<td>410.00</td>\n",
       "<td>Borosilicate glass</td>\n",
       "<td>S1, barrel field, Paxinos</td></tr><tr><td>anm215592</td>\n",
       "<td>2013-10-15 00:00:00</td>\n",
       "<td>Cell09</td>\n",
       "<td>AH1001_AAAA</td>\n",
       "<td>barrel</td>\n",
       "<td>C2</td>\n",
       "<td>4</td>\n",
       "<td>left</td>\n",
       "<td>excitatory</td>\n",
       "<td>471.00</td>\n",
       "<td>Borosilicate glass</td>\n",
       "<td>S1, barrel field, Paxinos</td></tr><tr><td>anm215592</td>\n",
       "<td>2013-10-15 00:00:00</td>\n",
       "<td>Cell28</td>\n",
       "<td>AH1001_AAAA</td>\n",
       "<td>barrel</td>\n",
       "<td>C2</td>\n",
       "<td>4</td>\n",
       "<td>left</td>\n",
       "<td>excitatory</td>\n",
       "<td>439.00</td>\n",
       "<td>Borosilicate glass</td>\n",
       "<td>S1, barrel field, Paxinos</td></tr><tr><td>anm215592</td>\n",
       "<td>2013-10-23 00:00:00</td>\n",
       "<td>Cell10</td>\n",
       "<td>AH1012_AAAA</td>\n",
       "<td>barrel</td>\n",
       "<td>C2</td>\n",
       "<td>4</td>\n",
       "<td>left</td>\n",
       "<td>excitatory</td>\n",
       "<td>560.00</td>\n",
       "<td>Borosilicate glass</td>\n",
       "<td>S1, barrel field, Paxinos</td></tr><tr><td>anm226694</td>\n",
       "<td>2014-02-22 00:00:00</td>\n",
       "<td>Cell12</td>\n",
       "<td>AH1045_AAAA</td>\n",
       "<td>barrel</td>\n",
       "<td>C2</td>\n",
       "<td>4</td>\n",
       "<td>left</td>\n",
       "<td>excitatory</td>\n",
       "<td>444.00</td>\n",
       "<td>Borosilicate glass</td>\n",
       "<td>S1, barrel field, Paxinos</td></tr><tr><td>anm226694</td>\n",
       "<td>2014-02-22 00:00:00</td>\n",
       "<td>Cell31</td>\n",
       "<td>AH1047_AAAA</td>\n",
       "<td>barrel</td>\n",
       "<td>C2</td>\n",
       "<td>4</td>\n",
       "<td>left</td>\n",
       "<td>excitatory</td>\n",
       "<td>547.00</td>\n",
       "<td>Borosilicate glass</td>\n",
       "<td>S1, barrel field, Paxinos</td> </tr> </tbody>\n",
       "            </table>\n",
       "            <p>...</p>\n",
       "            <p>Total: 52</p></div>\n",
       "            "
      ],
      "text/plain": [
       "*subject_id    *session_time  *session_id    *cell_id       *brain_region  *brain_subregi *cortical_laye *hemisphere    cell_type      recording_dept device_name    brain_location\n",
       "+------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+\n",
       "anm106211      2010-09-25 00: Cell17         AH0062_AAAA    barrel         C2             4              left           excitatory     528.00         Borosilicate g S1, barrel fie\n",
       "anm17702       2010-05-07 00: Cell27         AH0026_AAAA    barrel         C2             4              left           excitatory     410.00         Borosilicate g S1, barrel fie\n",
       "anm215592      2013-10-15 00: Cell09         AH1001_AAAA    barrel         C2             4              left           excitatory     471.00         Borosilicate g S1, barrel fie\n",
       "anm215592      2013-10-15 00: Cell28         AH1001_AAAA    barrel         C2             4              left           excitatory     439.00         Borosilicate g S1, barrel fie\n",
       "anm215592      2013-10-23 00: Cell10         AH1012_AAAA    barrel         C2             4              left           excitatory     560.00         Borosilicate g S1, barrel fie\n",
       "anm226694      2014-02-22 00: Cell12         AH1045_AAAA    barrel         C2             4              left           excitatory     444.00         Borosilicate g S1, barrel fie\n",
       "anm226694      2014-02-22 00: Cell31         AH1047_AAAA    barrel         C2             4              left           excitatory     547.00         Borosilicate g S1, barrel fie\n",
       "   ...\n",
       " (Total: 52)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intracellular.Cell * reference.BrainLocation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reproduced analysis and figures"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To demonstrate the availability and usage of the data in the pipeline, the following sections of this notebook will show the extraction and plotting of several sets of tracking and ephys data of interest, specifically, we will reproduce **Figure 1** and **Figure 2** of this study."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reproducing Figure 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Figure 1B\n",
    "\n",
    "Figure 1B shows the ephys and behavior data for one representative trial and cell. To reproduce, we will need to:\n",
    "1. select a cell and a trial\n",
    "2. extract ephys and behavior data (trial-segmented)\n",
    "3. plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we select a representative cell recording session - \"Cell 23\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "session_key = acquisition.Session & 'session_id=\"Cell23\"'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we pick an example trial from the selected session - trial 78"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "trial_key = acquisition.TrialSet.Trial & session_key & 'trial_id=78'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, select a particuclar setting defining how to segment out information per trial, including the definition of even for alignment\n",
    "\n",
    "here we choose segmentation setting to align to `trial_start` event"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "seg_param_key = (analysis.TrialSegmentationSetting & {'event': 'trial_start',\n",
    "                                                      'pre_stim_duration': 0,\n",
    "                                                      'post_stim_duration': 4.9}).fetch1()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then extract membrane potential for this cell and trial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get segmented Membrane Potential\n",
    "mp, ephys_timestamps = (intracellular.TrialSegmentedMembranePotential & trial_key & seg_param_key).fetch1('segmented_mp', 'segmented_mp_timestamps')\n",
    "behav = (behavior.TrialSegmentedBehavior & trial_key & seg_param_key).fetch1()\n",
    "behav_timestamps = behav['segmented_behavior_timestamps']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1a, axs = plt.subplots(5, 1, figsize=(10, 6))\n",
    "fig1a.subplots_adjust(hspace=0.05)\n",
    "axs[0].plot(behav_timestamps, np.where(behav['segmented_pole_available'] > 0, behav['segmented_pole_available'], np.nan), 'k',\n",
    "           linewidth=6)\n",
    "axs[1].plot(behav_timestamps, behav['segmented_theta_at_base'], 'g')\n",
    "axs[2].plot(behav_timestamps, np.where(behav['segmented_amplitude'] > 2.5, behav['segmented_phase'], np.nan), '.g')\n",
    "axs[3].plot(behav_timestamps, behav['segmented_delta_kappa'], 'c')\n",
    "axs[4].plot(ephys_timestamps, mp, 'k')\n",
    "axs[4].plot(behav_timestamps, np.where(behav['segmented_touch_onset'] == 1, mp[::10][:-1], np.nan), 'xc', \n",
    "            markeredgewidth=3, markersize=8)\n",
    "for a in axs:\n",
    "    a.set_xlim((0, 2))\n",
    "    a.spines['right'].set_visible(False)\n",
    "    a.spines['top'].set_visible(False)\n",
    "    a.spines['left'].set_visible(False)\n",
    "    a.spines['bottom'].set_visible(False)\n",
    "    a.set_xticks([])\n",
    "    a.set_yticks([])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Figure 1C, D"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Figure 1C, 1D & E, and 1F requires the spike times for all trials in the selected session. Thus we will extract (using `.fetch()`) the trial-segmented spike times to build a raster plot and a spike histogram."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get spike-train\n",
    "spk, spk_timestamps = (intracellular.TrialSegmentedSpikeTrain & session_key & seg_param_key).fetch(\n",
    "    'segmented_spike_train', 'segmented_spike_timestamps')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# restructure data for spike raster  \n",
    "trial_idx, spike_times = zip(*((np.full_like(r, ri), r)\n",
    "                                        for ri, r in enumerate(t[np.where(r > 0)[0]] for r, t in zip(spk, spk_timestamps))))\n",
    "trial_idx = np.hstack(trial_idx)\n",
    "spike_times = np.hstack(spike_times) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we define a helper function `build_PSTH()` to construct the spike histogram:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# trial-average spike histogram\n",
    "def build_PSTH(spike_train, timestamps, tlim, bin_size=0.05):\n",
    "    spk_counts, spk_edges = np.histogram(np.hstack(t[np.where(r[:len(t)] > 0)[0]] \n",
    "                                                   for r, t in zip(spike_train, timestamps)),\n",
    "                                                   bins=int((tlim[-1] - tlim[0]) / bin_size), range=tlim)\n",
    "    spk_rates = spk_counts / np.diff(spk_edges) / len(spike_train)\n",
    "    return spk_rates, spk_edges[:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "tlim = -float(seg_param_key['pre_stim_duration']), float(seg_param_key['post_stim_duration'])\n",
    "spk_rates, spk_edges = build_PSTH(spk, spk_timestamps, tlim, bin_size=0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1cd, ax = plt.subplots(1, 2, figsize=(10, 4))\n",
    "fig1cd.subplots_adjust(wspace=0.5)\n",
    "ax[0].plot(spike_times, trial_idx , '.k', markersize=4)\n",
    "ax[1].bar(spk_edges, spk_rates, width=0.05);\n",
    "ax[0].set_ylabel('Trial number')\n",
    "ax[0].set_xlabel('Time from trial starts (s)')\n",
    "ax[1].set_xlabel('Time from trial starts (s)')\n",
    "ax[1].set_ylabel('Spikes / s');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Figure 1E, F"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mostly similar to the procedure in reproducing Figure 1C & D, however, Figure 1E & F requires a few extra steps. The spike raster and spike histogram are no longer aligned to trial start, but to the first touch in the corresponding trial. \n",
    "\n",
    "Thus, per trial, we will extract (using `.fetch()`) the event named `first_lick`, and use this onset time to align the spike times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Specify segmentation setting to align to \"first lick\" event\n",
    "seg_param_key = (analysis.TrialSegmentationSetting & {'event': 'first_lick',\n",
    "                                                      'pre_stim_duration': 1,\n",
    "                                                      'post_stim_duration': 4}).fetch1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get spike-train\n",
    "spk, spk_timestamps = (intracellular.TrialSegmentedSpikeTrain & session_key & seg_param_key).fetch(\n",
    "    'segmented_spike_train', 'segmented_spike_timestamps')\n",
    "touchon = (behavior.TrialSegmentedBehavior & session_key & seg_param_key).fetch('segmented_touch_onset')\n",
    "ephys_timestamps = np.linspace(-1*float(seg_param_key['pre_stim_duration']),\n",
    "                               float(seg_param_key['post_stim_duration']),\n",
    "                               spk[0].size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we compute the touch duration per trial, and sort the trials based on touch duration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get touch duration (last-touch - first-touch)\n",
    "touch_dur = [np.diff(np.where(r > 0)[0][[0, -1]])[0] if np.where(r > 0)[0].size > 0 else -1 for r in touchon]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sort trials based on touch duration\n",
    "spk = spk[np.argsort(touch_dur)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# restructure data for spike raster  \n",
    "trial_idx, spike_times = zip(*((np.full_like(r, ri), r)\n",
    "                                        for ri, r in enumerate(t[np.where(r > 0)[0]] for r, t in zip(spk, spk_timestamps))))\n",
    "trial_idx = np.hstack(trial_idx)\n",
    "spike_times = np.hstack(spike_times) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "tlim = -float(seg_param_key['pre_stim_duration']), float(seg_param_key['post_stim_duration'])\n",
    "spk_rates, spk_edges = build_PSTH(spk, spk_timestamps, tlim, bin_size=0.001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1ef, ax = plt.subplots(1, 2, figsize=(10, 4))\n",
    "fig1ef.subplots_adjust(wspace=0.5)\n",
    "ax[0].plot(spike_times, trial_idx , '.k', markersize=4)\n",
    "ax[0].set_ylabel('Sorted trial number')\n",
    "ax[0].set_xlabel('Time from first touch (s)')\n",
    "ax[1].bar(spk_edges, spk_rates / 1000, width=0.0007);\n",
    "ax[1].set_xlim((-0.025, 0.05));\n",
    "ax[1].set_xlabel('Time from first touch (s)')\n",
    "ax[1].set_ylabel('Spikes / ms');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 2 - Population response\n",
    "\n",
    "Figure 2 requires splitting the recordings of cell population into the following categories:\n",
    "+ L4 C2-inside\n",
    "+ L4 C2-outside\n",
    "+ L5 C2-inside\n",
    "\n",
    "To achieve this, we will first construct queries to specifically select these cells. Note that this information is available in `intracellular.Cell` table because it refers back to specific location as enumerated in `reference.BrainLocation`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg height=\"185pt\" viewBox=\"0.00 0.00 449.50 185.00\" width=\"450pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       "<g class=\"graph\" id=\"graph0\" transform=\"scale(1 1) rotate(0) translate(4 181)\">\n",
       "<title>%3</title>\n",
       "<polygon fill=\"white\" points=\"-4,4 -4,-181 445.5,-181 445.5,4 -4,4\" stroke=\"none\"/>\n",
       "<!-- reference.WholeCellDevice -->\n",
       "<g class=\"node\" id=\"node1\"><title>reference.WholeCellDevice</title>\n",
       "<g id=\"a_node1\"><a xlink:title=\"device_name          \r",
       "------------------------------\r",
       "device_desc=&quot;&quot;       \r",
       "\">\n",
       "<polygon fill=\"#000000\" fill-opacity=\"0.125490\" points=\"132,-177 0,-177 0,-142 132,-142 132,-177\" stroke=\"none\"/>\n",
       "<text font-family=\"arial\" font-size=\"10.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"8\" y=\"-158\">reference.WholeCellDevice</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- intracellular.Cell -->\n",
       "<g class=\"node\" id=\"node2\"><title>intracellular.Cell</title>\n",
       "<g id=\"a_node2\"><a xlink:title=\"→ acquisition.Session\r",
       "cell_id              \r",
       "------------------------------\r",
       "cell_type            \r",
       "→ reference.BrainLocation\r",
       "recording_depth      \r",
       "→ reference.WholeCellDevice\r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"270,-106 172,-106 172,-71 270,-71 270,-106\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"180\" y=\"-86.4\">intracellular.Cell</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- reference.WholeCellDevice&#45;&gt;intracellular.Cell -->\n",
       "<g class=\"edge\" id=\"edge1\"><title>reference.WholeCellDevice-&gt;intracellular.Cell</title>\n",
       "<path d=\"M103.126,-141.973C127.577,-131.088 159.465,-116.893 183.908,-106.012\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- intracellular.SpikeTrain -->\n",
       "<g class=\"node\" id=\"node5\"><title>intracellular.SpikeTrain</title>\n",
       "<g id=\"a_node5\"><a xlink:title=\"→ intracellular.Cell\r",
       "------------------------------\r",
       "spike_train          \r",
       "spike_timestamps     \r",
       "\">\n",
       "<ellipse cx=\"114\" cy=\"-17.5\" fill=\"#00007f\" fill-opacity=\"0.250980\" rx=\"84.2502\" ry=\"17.5\" stroke=\"#00007f\" stroke-opacity=\"0.250980\"/>\n",
       "<text fill=\"#00007f\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"114\" y=\"-14.4\">intracellular.SpikeTrain</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- intracellular.Cell&#45;&gt;intracellular.SpikeTrain -->\n",
       "<g class=\"edge\" id=\"edge2\"><title>intracellular.Cell-&gt;intracellular.SpikeTrain</title>\n",
       "<path d=\"M195.371,-70.9728C178.183,-59.8891 155.671,-45.3719 138.683,-34.4173\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"2\"/>\n",
       "</g>\n",
       "<!-- intracellular.MembranePotential -->\n",
       "<g class=\"node\" id=\"node6\"><title>intracellular.MembranePotential</title>\n",
       "<g id=\"a_node6\"><a xlink:title=\"→ intracellular.Cell\r",
       "------------------------------\r",
       "membrane_potential   \r",
       "membrane_potential_timestamps \r",
       "\">\n",
       "<ellipse cx=\"329\" cy=\"-17.5\" fill=\"#00007f\" fill-opacity=\"0.250980\" rx=\"112.5\" ry=\"17.5\" stroke=\"#00007f\" stroke-opacity=\"0.250980\"/>\n",
       "<text fill=\"#00007f\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"middle\" x=\"329\" y=\"-14.4\">intracellular.MembranePotential</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- intracellular.Cell&#45;&gt;intracellular.MembranePotential -->\n",
       "<g class=\"edge\" id=\"edge3\"><title>intracellular.Cell-&gt;intracellular.MembranePotential</title>\n",
       "<path d=\"M246.869,-70.9728C264.092,-59.9689 286.613,-45.5806 303.715,-34.6543\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"2\"/>\n",
       "</g>\n",
       "<!-- reference.BrainLocation -->\n",
       "<g class=\"node\" id=\"node3\"><title>reference.BrainLocation</title>\n",
       "<g id=\"a_node3\"><a xlink:title=\"brain_region         \r",
       "brain_subregion=&quot;N/A&quot; \r",
       "→ reference.CorticalLayer\r",
       "→ reference.Hemisphere\r",
       "------------------------------\r",
       "brain_location_full_name=&quot;N/A&quot; \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"292,-177 150,-177 150,-142 292,-142 292,-177\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"158\" y=\"-157.4\">reference.BrainLocation</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- reference.BrainLocation&#45;&gt;intracellular.Cell -->\n",
       "<g class=\"edge\" id=\"edge4\"><title>reference.BrainLocation-&gt;intracellular.Cell</title>\n",
       "<path d=\"M221,-141.797C221,-130.949 221,-116.867 221,-106.049\" fill=\"none\" stroke=\"#000000\" stroke-dasharray=\"5,2\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "<!-- acquisition.Session -->\n",
       "<g class=\"node\" id=\"node4\"><title>acquisition.Session</title>\n",
       "<g id=\"a_node4\"><a xlink:title=\"→ subject.Subject\r",
       "session_time         \r",
       "session_id           \r",
       "------------------------------\r",
       "session_directory=&quot;&quot; \r",
       "session_note=&quot;&quot;      \r",
       "\">\n",
       "<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" points=\"429.5,-177 310.5,-177 310.5,-142 429.5,-142 429.5,-177\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\"/>\n",
       "<text fill=\"darkgreen\" font-family=\"arial\" font-size=\"12.00\" text-anchor=\"start\" text-decoration=\"underline\" x=\"318.5\" y=\"-157.4\">acquisition.Session</text>\n",
       "</a>\n",
       "</g>\n",
       "</g>\n",
       "<!-- acquisition.Session&#45;&gt;intracellular.Cell -->\n",
       "<g class=\"edge\" id=\"edge5\"><title>acquisition.Session-&gt;intracellular.Cell</title>\n",
       "<path d=\"M334.311,-141.973C310.807,-131.088 280.153,-116.893 256.656,-106.012\" fill=\"none\" stroke=\"#000000\" stroke-opacity=\"0.250980\" stroke-width=\"0.75\"/>\n",
       "</g>\n",
       "</g>\n",
       "</svg>"
      ],
      "text/plain": [
       "<datajoint.diagram.Diagram at 0x26087288fd0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dj.Diagram(intracellular.Cell) + 1 - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "l4_c2_inside_sess = intracellular.Cell & {'brain_subregion': 'C2', 'cortical_layer': 4}\n",
    "l4_c2_outside_sess = intracellular.Cell & {'brain_subregion': 'surround', 'cortical_layer': 4}\n",
    "l5_c2_inside_sess = intracellular.Cell & {'brain_subregion': 'C2', 'cortical_layer': 5}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's quickly check how many cells fall into each group."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of L4 C2-inside cells: 31\n",
      "Number of L4 C2-outside cells: 10\n",
      "Number of L5 C2-inside cells: 11\n"
     ]
    }
   ],
   "source": [
    "print(f'Number of L4 C2-inside cells: {len(l4_c2_inside_sess)}')\n",
    "print(f'Number of L4 C2-outside cells: {len(l4_c2_outside_sess)}')\n",
    "print(f'Number of L5 C2-inside cells: {len(l5_c2_inside_sess)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prepare to plot figure 2A\n",
    "Here we plot the population mean PSTH for 3 unit groups fetched above, aligned to the onset of `pole move in`.\n",
    "\n",
    "***Note***: this is slightly different from Figure 2A in the paper, in which data are aligned to `pole available`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Specify segmentation setting to align to \"pole in\" event\n",
    "seg_param_key = (analysis.TrialSegmentationSetting & {'event': 'pole_in',\n",
    "                                                      'pre_stim_duration': 0.5,\n",
    "                                                      'post_stim_duration': 3}).fetch1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get spike-train from all trials from all cells - population level\n",
    "l4_c2_inside_spk, l4_c2_inside_times = (intracellular.TrialSegmentedSpikeTrain & l4_c2_inside_sess & seg_param_key).fetch(\n",
    "    'segmented_spike_train', 'segmented_spike_timestamps')\n",
    "l4_c2_outside_spk, l4_c2_outside_times = (intracellular.TrialSegmentedSpikeTrain & l4_c2_outside_sess & seg_param_key).fetch(\n",
    "    'segmented_spike_train', 'segmented_spike_timestamps')\n",
    "l5_c2_inside_spk, l5_c2_inside_times = (intracellular.TrialSegmentedSpikeTrain & l5_c2_inside_sess & seg_param_key).fetch(\n",
    "    'segmented_spike_train', 'segmented_spike_timestamps')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "tlim = -float(seg_param_key['pre_stim_duration']), float(seg_param_key['post_stim_duration'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig2a, axs = plt.subplots(3, 1, figsize=(8, 8))\n",
    "fig2a.subplots_adjust(hspace=0.6)\n",
    "for ax, spike_train, timestamps, title in zip(axs, (l4_c2_inside_spk, l4_c2_outside_spk, l5_c2_inside_spk),\n",
    "                                              (l4_c2_inside_times, l4_c2_outside_times, l5_c2_inside_times),\n",
    "                                              ('L4 C2-inside', 'L4 C2-outside', 'L5 C2-inside')):\n",
    "    spk_rates, spk_edges = build_PSTH(spike_train, timestamps, tlim, bin_size=0.006)\n",
    "    ax.bar(spk_edges, spk_rates, width=0.01)\n",
    "    ax.set_xlim((0, 3))\n",
    "    ax.set_title(title);\n",
    "    ax.set_ylabel('Population mean (spk/s)')\n",
    "    ax.set_xlabel('Time from pole moving in (s)');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prepare to plot figure 2B"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Figure 2B depicts peri-stimulus time histogram aligned to `first touch`. \n",
    "\n",
    "To this end, we need to fetch trial-segmented spikes aligned to `trial start` (this is already precomputed), and then perform realighment to `first touch`. \n",
    "\n",
    "The function below, `build_realigned_PSTH()`, is defined to accomplish this task"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# trial-average spike histogram\n",
    "def build_realigned_PSTH(spike_train, spk_timestamps, event_data, event_timestamps, timerange, tlim, bin_size=0.05):\n",
    "    spike_times = []\n",
    "    for spikes, spk_t, events, event_t in zip(spike_train, spk_timestamps, event_data, event_timestamps):\n",
    "        if (events > 0).any():\n",
    "            first_eve = event_t[events == 1][0]\n",
    "            aligned_spk = (spk_t - first_eve)[spikes > 0] \n",
    "            spike_times.append(aligned_spk)\n",
    "    \n",
    "    if spike_times:\n",
    "        spk_counts, spk_edges = np.histogram(np.hstack(spike_times),\n",
    "                                             bins=int((tlim[-1] - tlim[0]) / bin_size), range=tlim)\n",
    "        spk_rates = spk_counts / np.diff(spk_edges) / len(spike_times)\n",
    "        spk_edges = spk_edges[1:] \n",
    "        \n",
    "        # normalize\n",
    "        spk_rates = spk_rates / np.nanmax(spk_rates)\n",
    "        \n",
    "        return spk_rates, spk_edges\n",
    "    else:\n",
    "        return None, None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Specify segmentation setting to align to \"trial_start\" event\n",
    "seg_param_key = (analysis.TrialSegmentationSetting & {'event': 'trial_start',\n",
    "                                                      'pre_stim_duration': 0,\n",
    "                                                      'post_stim_duration': 4.9}).fetch1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get spike-train from all trials from all cells - population level\n",
    "l4_c2_inside_spk = [(intracellular.TrialSegmentedSpikeTrain * behavior.TrialSegmentedBehavior & s & seg_param_key).fetch(\n",
    "    'segmented_spike_train', 'segmented_spike_timestamps', 'segmented_touch_onset', 'segmented_behavior_timestamps')\n",
    "                    for s in l4_c2_inside_sess.fetch('KEY', order_by='session_id')]\n",
    "l4_c2_outside_spk = [(intracellular.TrialSegmentedSpikeTrain * behavior.TrialSegmentedBehavior & s & seg_param_key).fetch(\n",
    "    'segmented_spike_train', 'segmented_spike_timestamps', 'segmented_touch_onset', 'segmented_behavior_timestamps')\n",
    "                     for s in l4_c2_outside_sess.fetch('KEY', order_by='session_id')]\n",
    "l5_c2_inside_spk = [(intracellular.TrialSegmentedSpikeTrain * behavior.TrialSegmentedBehavior & s & seg_param_key).fetch(\n",
    "    'segmented_spike_train', 'segmented_spike_timestamps', 'segmented_touch_onset', 'segmented_behavior_timestamps')\n",
    "                    for s in l5_c2_inside_sess.fetch('KEY', order_by='session_id')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "tlim=(-0.025, 0.05)\n",
    "population_psth = []\n",
    "cell_spk_edge = None\n",
    "for unit_group in (l4_c2_inside_spk, l4_c2_outside_spk, l5_c2_inside_spk):\n",
    "    # compute PSTH for population level\n",
    "    PSTH_matrix = [build_realigned_PSTH(spk_train, spk_times, touch_onsets, behav_times, timerange=(-1*float(seg_param_key['pre_stim_duration']),\n",
    "                               float(seg_param_key['post_stim_duration'])), tlim=tlim, bin_size=0.0005)\n",
    "                   for spk_train, spk_times, touch_onsets, behav_times in unit_group if spk_train.size > 0]\n",
    "\n",
    "    # obtain unit psth\n",
    "    cell_spk_edge = PSTH_matrix[0][1] if cell_spk_edge is None else cell_spk_edge\n",
    "    # per-unit normalization\n",
    "    cell_spk_rate = np.vstack([s[0] for s in PSTH_matrix]) \n",
    "\n",
    "    population_psth.append(cell_spk_rate)\n",
    "    population_psth.append(np.full((1, cell_spk_rate.shape[1]), np.nan))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "population_psth = np.vstack(population_psth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig2b, ax = plt.subplots(1, 1, figsize=(14, 8))\n",
    "sns.heatmap(population_psth, cmap='jet', ax=ax, xticklabels=[], yticklabels=[])\n",
    "\n",
    "ax.axvline(x=np.where(np.abs(cell_spk_edge-0)<1e-15)[0][0], color='w',linestyle='--',linewidth=3)\n",
    "ax.set_xticks([0, 50, 100, 150])\n",
    "ax.set_xticklabels([-25, 0, 25, 50])\n",
    "\n",
    "ax.set_title('Population touch response')\n",
    "ax.set_xlabel('Time from first touch (ms)');"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}