notebooks/07-downstream-analysis.ipynb

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   },
   "source": [
    "# Event-aligned spike time analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15ba9ad8-f0e4-48ec-b959-324c35c7581b",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdb8265a-129e-4ccb-b995-bb4ff30d756d",
   "metadata": {},
   "source": [
    "First, let's change directories to find the `dj_local_conf` file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "921a4a03",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "if os.path.basename(os.getcwd()) == \"notebooks\": os.chdir(\"..\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e69b8c23",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We'll be working with long tables, so we'll make visualization easier with a limit\n",
    "import datajoint as dj\n",
    "dj.config[\"display.limit\"] = 10"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84b2c6ae-b8cd-47b8-af38-812f65032933",
   "metadata": {},
   "source": [
    "Next, we populate the python namespace with the required schemas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "79cef246",
   "metadata": {},
   "outputs": [
    {
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     "output_type": "stream",
     "text": [
      "[2022-09-15 10:14:05,277][INFO]: Connecting cbroz@tutorial-db.datajoint.io:3306\n",
      "[2022-09-15 10:14:05,749][INFO]: Connected cbroz@tutorial-db.datajoint.io:3306\n"
     ]
    }
   ],
   "source": [
    "from workflow_array_ephys.pipeline import session, ephys, trial, event, analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04616e30-c9f8-468c-bed1-0d233ab76617",
   "metadata": {
    "incorrectly_encoded_metadata": "jp-MarkdownHeadingCollapsed=true jp-MarkdownHeadingCollapsed=true",
    "tags": []
   },
   "source": [
    "## Trial and Event schemas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1451602-df01-4c33-b4bf-e280d3d0742c",
   "metadata": {},
   "source": [
    "Tables in the `trial` and `event` schemas specify the structure of your experiment, including block, trial and event timing.\n",
    "- Session has a 1-to-1 mapping with a behavior recording\n",
    "- A block is a continuous phase of an experiment that contains repeated instances of a condition, or trials.\n",
    "- Events may occur within or outside of conditions, either instantaneous or continuous.\n",
    "\n",
    "The diagram below shows (a) the levels of hierarchy and (b) how the bounds may not completely overlap. A block may not fully capture trials and events may occur outside both blocks/trials."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5bc66f4-4a30-467a-829d-2e3b05decdd0",
   "metadata": {},
   "source": [
    "```\n",
    "|----------------------------------------------------------------------------|\n",
    "|-------------------------------- Session ---------------------------------|__\n",
    "|-------------------------- BehaviorRecording -----------------------------|__\n",
    "|----- Block 1 -----|______|----- Block 2 -----|______|----- Block 3 -----|___\n",
    "| trial 1 || trial 2 |____| trial 3 || trial 4 |____| trial 5 |____| trial 6 |\n",
    "|_|e1|_|e2||e3|_|e4|__|e5|__|e6||e7||e8||e9||e10||e11|____|e12||e13|_________|\n",
    "|----------------------------------------------------------------------------|\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e9a8cfd-8188-4d69-9c3a-b91a1ba4876a",
   "metadata": {},
   "source": [
    "Let's load some example data. The `ingest.py` script has a series of loaders to help."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dab268a4-ae07-4c8b-b999-536d9e5b3e2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from workflow_array_ephys.ingest import (\n",
    "    ingest_subjects,\n",
    "    ingest_sessions,\n",
    "    ingest_events,\n",
    "    ingest_alignment,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5b6eaecd-a823-4649-9b81-63f8f2b4dc21",
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     "text": [
      "\n",
      "---- Insert 0 entry(s) into subject.Subject ----\n",
      "\n",
      "---- Successfully completed ingest_subjects ----\n",
      "\n",
      "---- Insert 0 entry(s) into session.Session ----\n",
      "\n",
      "---- Insert 0 entry(s) into probe.Probe ----\n",
      "\n",
      "---- Insert 0 entry(s) into ephys.ProbeInsertion ----\n",
      "\n",
      "---- Successfully completed ingest_subjects ----\n",
      "\n",
      "---- Inserting 1 entry(s) into behavior_recording ----\n",
      "\n",
      "---- Inserting 2 entry(s) into behavior_recording__file ----\n",
      "\n",
      "---- Inserting 4 entry(s) into _block ----\n",
      "\n",
      "---- Inserting 4 entry(s) into _block__attribute ----\n",
      "\n",
      "---- Inserting 2 entry(s) into #trial_type ----\n",
      "\n",
      "---- Inserting 100 entry(s) into _trial ----\n",
      "\n",
      "---- Inserting 100 entry(s) into _trial__attribute ----\n",
      "\n",
      "---- Inserting 100 entry(s) into _block_trial ----\n",
      "\n",
      "---- Inserting 3 entry(s) into #event_type ----\n",
      "\n",
      "---- Inserting 153 entry(s) into _event ----\n",
      "\n",
      "---- Inserting 153 entry(s) into _trial_event ----\n"
     ]
    }
   ],
   "source": [
    "ingest_subjects()\n",
    "ingest_sessions()\n",
    "ingest_events()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a51de8b-3ddd-473e-b930-b0bc0c50d05f",
   "metadata": {},
   "source": [
    "We have 100 total trials, either 'stim' or 'ctrl', with start and stop time"
   ]
  },
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   "execution_count": 6,
   "id": "4cdf4879-cd05-43c3-89fa-cacc1b1474a6",
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       "    <b>Experimental trials</b>\n",
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       "            <thead> <tr style=\"text-align: right;\"> <th> <div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">subject</p>\n",
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       "                            <p id=\"primary\">session_datetime</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">trial_id</p>\n",
       "                            <span class=\"djtooltiptext\">trial number (1-based indexing)</span>\n",
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       "                            <p id=\"nonprimary\">trial_type</p>\n",
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       "                            <span class=\"djtooltiptext\">(second) relative to recording start</span>\n",
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       "                            <p id=\"nonprimary\">trial_stop_time</p>\n",
       "                            <span class=\"djtooltiptext\">(second) relative to recording start</span>\n",
       "                        </div> </th> </tr> </thead>\n",
       "            <tbody> <tr> <td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>1</td>\n",
       "<td>stim</td>\n",
       "<td>0.123</td>\n",
       "<td>17.123</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>2</td>\n",
       "<td>ctrl</td>\n",
       "<td>17.54</td>\n",
       "<td>34.54</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>3</td>\n",
       "<td>ctrl</td>\n",
       "<td>34.81</td>\n",
       "<td>51.81</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>4</td>\n",
       "<td>ctrl</td>\n",
       "<td>52.202</td>\n",
       "<td>69.202</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>5</td>\n",
       "<td>stim</td>\n",
       "<td>69.611</td>\n",
       "<td>86.611</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>6</td>\n",
       "<td>stim</td>\n",
       "<td>87.03</td>\n",
       "<td>104.03</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>7</td>\n",
       "<td>ctrl</td>\n",
       "<td>104.165</td>\n",
       "<td>121.165</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>8</td>\n",
       "<td>ctrl</td>\n",
       "<td>121.502</td>\n",
       "<td>138.502</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>9</td>\n",
       "<td>ctrl</td>\n",
       "<td>138.612</td>\n",
       "<td>155.612</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>10</td>\n",
       "<td>stim</td>\n",
       "<td>155.741</td>\n",
       "<td>172.741</td> </tr> </tbody>\n",
       "        </table>\n",
       "        <p>...</p>\n",
       "        <p>Total: 100</p></div>\n",
       "        "
      ],
      "text/plain": [
       "*subject     *session_datet *trial_id    trial_type     trial_start_ti trial_stop_tim\n",
       "+----------+ +------------+ +----------+ +------------+ +------------+ +------------+\n",
       "subject6     2021-01-15 11: 1            stim           0.123          17.123        \n",
       "subject6     2021-01-15 11: 2            ctrl           17.54          34.54         \n",
       "subject6     2021-01-15 11: 3            ctrl           34.81          51.81         \n",
       "subject6     2021-01-15 11: 4            ctrl           52.202         69.202        \n",
       "subject6     2021-01-15 11: 5            stim           69.611         86.611        \n",
       "subject6     2021-01-15 11: 6            stim           87.03          104.03        \n",
       "subject6     2021-01-15 11: 7            ctrl           104.165        121.165       \n",
       "subject6     2021-01-15 11: 8            ctrl           121.502        138.502       \n",
       "subject6     2021-01-15 11: 9            ctrl           138.612        155.612       \n",
       "subject6     2021-01-15 11: 10           stim           155.741        172.741       \n",
       "   ...\n",
       " (Total: 100)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trial.Trial()"
   ]
  },
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   "source": [
    "Each trial is paired with events that take place during the trial window."
   ]
  },
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       "            <tbody> <tr> <td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>1</td>\n",
       "<td>center</td>\n",
       "<td>10.58</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>2</td>\n",
       "<td>center</td>\n",
       "<td>21.647</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>3</td>\n",
       "<td>center</td>\n",
       "<td>37.044</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>4</td>\n",
       "<td>center</td>\n",
       "<td>55.259</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>1</td>\n",
       "<td>left</td>\n",
       "<td>4.498</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>3</td>\n",
       "<td>left</td>\n",
       "<td>41.892</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>2</td>\n",
       "<td>right</td>\n",
       "<td>23.9</td> </tr> </tbody>\n",
       "        </table>\n",
       "        \n",
       "        <p>Total: 7</p></div>\n",
       "        "
      ],
      "text/plain": [
       "*subject     *session_datet *trial_id    *event_type    *event_start_t\n",
       "+----------+ +------------+ +----------+ +------------+ +------------+\n",
       "subject6     2021-01-15 11: 1            center         10.58         \n",
       "subject6     2021-01-15 11: 2            center         21.647        \n",
       "subject6     2021-01-15 11: 3            center         37.044        \n",
       "subject6     2021-01-15 11: 4            center         55.259        \n",
       "subject6     2021-01-15 11: 1            left           4.498         \n",
       "subject6     2021-01-15 11: 3            left           41.892        \n",
       "subject6     2021-01-15 11: 2            right          23.9          \n",
       " (Total: 7)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
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   ],
   "source": [
    "trial.TrialEvent() & \"trial_id<5\""
   ]
  },
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   "source": [
    "Finally, the `AlignmentEvent` describes the event of interest and the window we'd like to see around it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5122d831-48b2-4214-bd43-a42d67a5dc2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "---- Inserting 3 entry(s) into alignment_event ----\n"
     ]
    }
   ],
   "source": [
    "ingest_alignment()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "50a2c99f",
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       "        .djtooltip:hover .djtooltiptext {\n",
       "            visibility: visible;\n",
       "        }\n",
       "    </style>\n",
       "    \n",
       "    <b>time_shift is seconds to shift with respect to (WRT) a variable</b>\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\">alignment_name</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"nonprimary\">alignment_description</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"nonprimary\">alignment_event_type</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"nonprimary\">alignment_time_shift</p>\n",
       "                            <span class=\"djtooltiptext\">(s) WRT alignment_event_type</span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"nonprimary\">start_event_type</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"nonprimary\">start_time_shift</p>\n",
       "                            <span class=\"djtooltiptext\">(s) WRT start_event_type</span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"nonprimary\">end_event_type</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"nonprimary\">end_time_shift</p>\n",
       "                            <span class=\"djtooltiptext\">(s) WRT end_event_type</span>\n",
       "                        </div> </th> </tr> </thead>\n",
       "            <tbody> <tr> <td>center_button</td>\n",
       "<td></td>\n",
       "<td>center</td>\n",
       "<td>0.0</td>\n",
       "<td>center</td>\n",
       "<td>-3.0</td>\n",
       "<td>center</td>\n",
       "<td>3.0</td></tr><tr><td>left_button</td>\n",
       "<td></td>\n",
       "<td>left</td>\n",
       "<td>0.0</td>\n",
       "<td>left</td>\n",
       "<td>-3.0</td>\n",
       "<td>left</td>\n",
       "<td>3.0</td></tr><tr><td>right_button</td>\n",
       "<td></td>\n",
       "<td>right</td>\n",
       "<td>0.0</td>\n",
       "<td>right</td>\n",
       "<td>-3.0</td>\n",
       "<td>right</td>\n",
       "<td>3.0</td> </tr> </tbody>\n",
       "        </table>\n",
       "        \n",
       "        <p>Total: 3</p></div>\n",
       "        "
      ],
      "text/plain": [
       "*alignment_nam alignment_desc alignment_even alignment_time start_event_ty start_time_shi end_event_type end_time_shift\n",
       "+------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+\n",
       "center_button                 center         0.0            center         -3.0           center         3.0           \n",
       "left_button                   left           0.0            left           -3.0           left           3.0           \n",
       "right_button                  right          0.0            right          -3.0           right          3.0           \n",
       " (Total: 3)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "event.AlignmentEvent()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4936a1e8",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Event-aligned spike times"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48907760-54b8-485f-b2eb-8c03a5cc2839",
   "metadata": {},
   "source": [
    "First, we'll check that the data is still properly inserted from the previous notebooks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9a36c342",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        .djtooltip:hover .djtooltiptext {\n",
       "            visibility: visible;\n",
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       "    </style>\n",
       "    \n",
       "    <b>Clustering results of the spike sorting step.</b>\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</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">session_datetime</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">insertion_number</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">paramset_idx</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div> </th> </tr> </thead>\n",
       "            <tbody> <tr> <td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td> </tr> </tbody>\n",
       "        </table>\n",
       "        \n",
       "        <p>Total: 1</p></div>\n",
       "        "
      ],
      "text/plain": [
       "*subject     *session_datet *insertion_num *paramset_idx \n",
       "+----------+ +------------+ +------------+ +------------+\n",
       "subject6     2021-01-15 11: 0              0             \n",
       " (Total: 1)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ephys.CuratedClustering()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc6c1e0c-ad56-4152-a200-873150aafb17",
   "metadata": {},
   "source": [
    "For this example, we'll be looking at `subject6`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8642f010",
   "metadata": {},
   "outputs": [],
   "source": [
    "clustering_key = (\n",
    "    ephys.CuratedClustering\n",
    "    & {\n",
    "        \"subject\": \"subject6\",\n",
    "        \"session_datetime\": \"2021-01-15 11:16:38\",\n",
    "        \"insertion_number\": 0,\n",
    "    }\n",
    ").fetch1(\"KEY\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c9c95806",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    \n",
       "    <b>Experimental trials</b>\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</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">session_datetime</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">trial_id</p>\n",
       "                            <span class=\"djtooltiptext\">trial number (1-based indexing)</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_start_time</p>\n",
       "                            <span class=\"djtooltiptext\">(second) relative to recording start</span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"nonprimary\">trial_stop_time</p>\n",
       "                            <span class=\"djtooltiptext\">(second) relative to recording start</span>\n",
       "                        </div> </th> </tr> </thead>\n",
       "            <tbody> <tr> <td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>1</td>\n",
       "<td>stim</td>\n",
       "<td>0.123</td>\n",
       "<td>17.123</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>2</td>\n",
       "<td>ctrl</td>\n",
       "<td>17.54</td>\n",
       "<td>34.54</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>3</td>\n",
       "<td>ctrl</td>\n",
       "<td>34.81</td>\n",
       "<td>51.81</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>4</td>\n",
       "<td>ctrl</td>\n",
       "<td>52.202</td>\n",
       "<td>69.202</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>5</td>\n",
       "<td>stim</td>\n",
       "<td>69.611</td>\n",
       "<td>86.611</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>6</td>\n",
       "<td>stim</td>\n",
       "<td>87.03</td>\n",
       "<td>104.03</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>7</td>\n",
       "<td>ctrl</td>\n",
       "<td>104.165</td>\n",
       "<td>121.165</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>8</td>\n",
       "<td>ctrl</td>\n",
       "<td>121.502</td>\n",
       "<td>138.502</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>9</td>\n",
       "<td>ctrl</td>\n",
       "<td>138.612</td>\n",
       "<td>155.612</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>10</td>\n",
       "<td>stim</td>\n",
       "<td>155.741</td>\n",
       "<td>172.741</td> </tr> </tbody>\n",
       "        </table>\n",
       "        <p>...</p>\n",
       "        <p>Total: 100</p></div>\n",
       "        "
      ],
      "text/plain": [
       "*subject     *session_datet *trial_id    trial_type     trial_start_ti trial_stop_tim\n",
       "+----------+ +------------+ +----------+ +------------+ +------------+ +------------+\n",
       "subject6     2021-01-15 11: 1            stim           0.123          17.123        \n",
       "subject6     2021-01-15 11: 2            ctrl           17.54          34.54         \n",
       "subject6     2021-01-15 11: 3            ctrl           34.81          51.81         \n",
       "subject6     2021-01-15 11: 4            ctrl           52.202         69.202        \n",
       "subject6     2021-01-15 11: 5            stim           69.611         86.611        \n",
       "subject6     2021-01-15 11: 6            stim           87.03          104.03        \n",
       "subject6     2021-01-15 11: 7            ctrl           104.165        121.165       \n",
       "subject6     2021-01-15 11: 8            ctrl           121.502        138.502       \n",
       "subject6     2021-01-15 11: 9            ctrl           138.612        155.612       \n",
       "subject6     2021-01-15 11: 10           stim           155.741        172.741       \n",
       "   ...\n",
       " (Total: 100)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trial.Trial & clustering_key"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2947c6b-e58b-4dd8-b6ac-23717244634b",
   "metadata": {},
   "source": [
    "And we can narrow our focus on `ctrl` trials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1851ad2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "ctrl_trials = trial.Trial & clustering_key & 'trial_type = \"ctrl\"'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be1e7935-7a12-4753-9132-e311f9c3fadd",
   "metadata": {},
   "source": [
    "The `analysis` schema provides example tables to perform event-aligned spike-times analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "937383de-b313-45ec-9239-8f6a8e604ac1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/cb/miniforge3/envs/ele/lib/python3.9/inspect.py:351: FutureWarning: pandas.Float64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
      "  value = getattr(object, key)\n",
      "/Users/cb/miniforge3/envs/ele/lib/python3.9/inspect.py:351: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
      "  value = getattr(object, key)\n",
      "/Users/cb/miniforge3/envs/ele/lib/python3.9/inspect.py:351: FutureWarning: pandas.UInt64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
      "  value = getattr(object, key)\n"
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analysis.SpikesAlignmentCondition.Trial\r------------------------------\raligned_spike_times  \r\">\n<polygon fill=\"transparent\" stroke=\"transparent\" points=\"408,-19 195,-19 195,0 408,0 408,-19\"/>\n<text text-anchor=\"middle\" x=\"301.5\" y=\"-7\" font-family=\"arial\" font-size=\"10.00\">analysis.SpikesAlignment.AlignedTrialSpikes</text>\n</a>\n</g>\n</g>\n<!-- analysis.SpikesAlignment&#45;&gt;analysis.SpikesAlignment.AlignedTrialSpikes -->\n<g id=\"edge4\" class=\"edge\">\n<title>analysis.SpikesAlignment-&gt;analysis.SpikesAlignment.AlignedTrialSpikes</title>\n<path fill=\"none\" stroke=\"#000000\" stroke-width=\"0.75\" stroke-opacity=\"0.250980\" d=\"M242.09,-59.14C254.98,-48.59 277.79,-29.91 291.09,-19.03\"/>\n</g>\n<!-- ephys.CuratedClustering.Unit -->\n<g id=\"node4\" class=\"node\">\n<title>ephys.CuratedClustering.Unit</title>\n<g id=\"a_node4\"><a xlink:title=\"→ ephys.CuratedClustering\runit                 \r------------------------------\r→ ephys.probe.ElectrodeConfig.Electrode\r→ ephys.ClusterQualityLabel\rspike_count          \rspike_times          \rspike_sites          \rspike_depths         \r\">\n<polygon fill=\"transparent\" stroke=\"transparent\" points=\"199.5,-144 53.5,-144 53.5,-125 199.5,-125 199.5,-144\"/>\n<text text-anchor=\"middle\" x=\"126.5\" y=\"-132\" font-family=\"arial\" font-size=\"10.00\">ephys.CuratedClustering.Unit</text>\n</a>\n</g>\n</g>\n<!-- ephys.CuratedClustering.Unit&#45;&gt;analysis.SpikesAlignment.UnitPSTH -->\n<g id=\"edge5\" class=\"edge\">\n<title>ephys.CuratedClustering.Unit-&gt;analysis.SpikesAlignment.UnitPSTH</title>\n<path fill=\"none\" stroke=\"#000000\" stroke-width=\"0.75\" stroke-opacity=\"0.250980\" d=\"M123.77,-124.65C116.76,-101.96 98.19,-41.87 91.21,-19.27\"/>\n</g>\n<!-- ephys.CuratedClustering.Unit&#45;&gt;analysis.SpikesAlignment.AlignedTrialSpikes -->\n<g id=\"edge6\" class=\"edge\">\n<title>ephys.CuratedClustering.Unit-&gt;analysis.SpikesAlignment.AlignedTrialSpikes</title>\n<path fill=\"none\" stroke=\"#000000\" stroke-width=\"0.75\" stroke-opacity=\"0.250980\" d=\"M125.97,-124.88C125.49,-108.87 126.85,-74.42 145.5,-55 163.25,-36.52 188.1,-25.55 212.75,-19.09\"/>\n</g>\n<!-- event.AlignmentEvent -->\n<g id=\"node5\" class=\"node\">\n<title>event.AlignmentEvent</title>\n<g id=\"a_node5\"><a xlink:title=\"alignment_name       \r------------------------------\ralignment_description=&quot;&quot; \r→ event.EventType.proj(alignment_event_type=&quot;event_type&quot;)\ralignment_time_shift \r→ event.EventType.proj(start_event_type=&quot;event_type&quot;)\rstart_time_shift     \r→ event.EventType.proj(end_event_type=&quot;event_type&quot;)\rend_time_shift       \r\">\n<polygon fill=\"#00ff00\" fill-opacity=\"0.188235\" stroke=\"#00ff00\" stroke-opacity=\"0.188235\" points=\"439.5,-223 305.5,-223 305.5,-188 439.5,-188 439.5,-223\"/>\n<text text-anchor=\"start\" x=\"313.5\" y=\"-203.4\" font-family=\"arial\" text-decoration=\"underline\" font-size=\"12.00\" fill=\"darkgreen\">event.AlignmentEvent</text>\n</a>\n</g>\n</g>\n<!-- event.AlignmentEvent&#45;&gt;analysis.SpikesAlignmentCondition -->\n<g id=\"edge7\" class=\"edge\">\n<title>event.AlignmentEvent-&gt;analysis.SpikesAlignmentCondition</title>\n<path fill=\"none\" stroke=\"#000000\" stroke-width=\"0.75\" stroke-opacity=\"0.250980\" d=\"M372.5,-187.8C372.5,-176.95 372.5,-162.87 372.5,-152.05\"/>\n</g>\n<!-- trial.Trial -->\n<g id=\"node7\" class=\"node\">\n<title>trial.Trial</title>\n<g id=\"a_node7\"><a xlink:title=\"→ event.BehaviorRecording\rtrial_id             \r------------------------------\r→ [nullable] trial.TrialType\rtrial_start_time     \rtrial_stop_time      \r\">\n<ellipse fill=\"#00007f\" fill-opacity=\"0.250980\" stroke=\"#00007f\" stroke-opacity=\"0.250980\" cx=\"532.5\" cy=\"-134.5\" rx=\"38.5\" ry=\"17.5\"/>\n<text text-anchor=\"start\" x=\"509.5\" y=\"-132.4\" font-family=\"arial\" text-decoration=\"underline\" font-size=\"12.00\" fill=\"#00007f\" fill-opacity=\"0.627451\">trial.Trial</text>\n</a>\n</g>\n</g>\n<!-- trial.Trial&#45;&gt;analysis.SpikesAlignmentCondition.Trial -->\n<g id=\"edge8\" class=\"edge\">\n<title>trial.Trial-&gt;analysis.SpikesAlignmentCondition.Trial</title>\n<path fill=\"none\" stroke=\"#000000\" stroke-width=\"0.75\" stroke-opacity=\"0.250980\" d=\"M510.12,-120.14C488.74,-107.37 457.16,-88.5 438.92,-77.61\"/>\n</g>\n<!-- analysis.SpikesAlignmentCondition.Trial&#45;&gt;analysis.SpikesAlignment.AlignedTrialSpikes -->\n<g id=\"edge9\" class=\"edge\">\n<title>analysis.SpikesAlignmentCondition.Trial-&gt;analysis.SpikesAlignment.AlignedTrialSpikes</title>\n<path fill=\"none\" stroke=\"#000000\" stroke-width=\"0.75\" stroke-opacity=\"0.250980\" d=\"M405.82,-58.42C382.7,-47.8 343.56,-29.82 320.36,-19.16\"/>\n</g>\n<!-- ephys.CuratedClustering -->\n<g id=\"node9\" class=\"node\">\n<title>ephys.CuratedClustering</title>\n<g id=\"a_node9\"><a xlink:title=\"→ ephys.Clustering\r\">\n<ellipse fill=\"#00007f\" fill-opacity=\"0.250980\" stroke=\"#00007f\" stroke-opacity=\"0.250980\" cx=\"126.5\" cy=\"-205.5\" rx=\"93.25\" ry=\"17.5\"/>\n<text text-anchor=\"middle\" x=\"126.5\" y=\"-202.4\" font-family=\"arial\" font-size=\"12.00\" fill=\"#00007f\" fill-opacity=\"0.627451\">ephys.CuratedClustering</text>\n</a>\n</g>\n</g>\n<!-- ephys.CuratedClustering&#45;&gt;analysis.SpikesAlignmentCondition -->\n<g id=\"edge10\" class=\"edge\">\n<title>ephys.CuratedClustering-&gt;analysis.SpikesAlignmentCondition</title>\n<path fill=\"none\" stroke=\"#000000\" stroke-width=\"0.75\" stroke-opacity=\"0.250980\" d=\"M175.99,-190.62C215.69,-179.48 271.54,-163.82 313.56,-152.03\"/>\n</g>\n<!-- ephys.CuratedClustering&#45;&gt;ephys.CuratedClustering.Unit -->\n<g id=\"edge11\" class=\"edge\">\n<title>ephys.CuratedClustering-&gt;ephys.CuratedClustering.Unit</title>\n<path fill=\"none\" stroke=\"#000000\" stroke-width=\"0.75\" stroke-opacity=\"0.250980\" d=\"M126.5,-187.8C126.5,-174.08 126.5,-155.19 126.5,-144.27\"/>\n</g>\n</g>\n</svg>",
      "text/plain": [
       "<datajoint.diagram.Diagram at 0x105ff9fa0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(\n",
    "    dj.Diagram(analysis)\n",
    "    + dj.Diagram(event.AlignmentEvent)\n",
    "    + dj.Diagram(trial.Trial)\n",
    "    + dj.Diagram(ephys.CuratedClustering)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fdb3f63-6dda-4489-b2a1-8a9073ff290a",
   "metadata": {
    "title": "***SpikesAlignmentCondition*** - a manual table to specify the inputs and condition for the analysis"
   },
   "source": [
    "Let's start by creating an analysis configuration - i.e. inserting into ***SpikesAlignmentCondition*** for the `center` event, called `center_button` in the `AlignmentEvent` table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f76cc104-4925-4e71-822e-81f3643e5625",
   "metadata": {
    "lines_to_next_cell": 0,
    "title": "***SpikesAlignment*** - a computed table to extract event-aligned spikes and compute unit PSTH"
   },
   "outputs": [],
   "source": [
    "alignment_key = (event.AlignmentEvent & 'alignment_name = \"center_button\"').fetch1(\n",
    "    \"KEY\"\n",
    ")\n",
    "alignment_condition = {\n",
    "    **clustering_key,\n",
    "    **alignment_key,\n",
    "    \"trial_condition\": \"ctrl_center_button\",\n",
    "    \"bin_size\": 0.2,\n",
    "}\n",
    "analysis.SpikesAlignmentCondition.insert1(alignment_condition, skip_duplicates=True)\n",
    "alignment_condition.pop(\"bin_size\")\n",
    "analysis.SpikesAlignmentCondition.Trial.insert(\n",
    "    (analysis.SpikesAlignmentCondition * ctrl_trials & alignment_condition).proj(),\n",
    "    skip_duplicates=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d095e0a-207d-4641-86eb-bc25a0a09018",
   "metadata": {
    "title": "a CuratedClustering of interest for analysis"
   },
   "source": [
    "With the steps above, we have created a new spike alignment condition for analysis, named `ctrl_center_button`, which retains all spiking information related to control trials during which the center button was pressed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5e2c96c5-9382-4d57-a1c9-0124611a3e08",
   "metadata": {
    "lines_to_next_cell": 0,
    "title": "***SpikesAlignment*** - a computed table to extract event-aligned spikes and compute unit PSTH"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    \n",
       "    <b>Trials on which to compute event-aligned spikes and PSTH</b>\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</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">session_datetime</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">insertion_number</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">paramset_idx</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">alignment_name</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">trial_condition</p>\n",
       "                            <span class=\"djtooltiptext\">user-friendly name of condition</span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">trial_id</p>\n",
       "                            <span class=\"djtooltiptext\">trial number (1-based indexing)</span>\n",
       "                        </div> </th> </tr> </thead>\n",
       "            <tbody> <tr> <td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td>2</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td>3</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td>4</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td>7</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td>8</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td>9</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td>13</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td>14</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td>15</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td>16</td> </tr> </tbody>\n",
       "        </table>\n",
       "        <p>...</p>\n",
       "        <p>Total: 50</p></div>\n",
       "        "
      ],
      "text/plain": [
       "*subject     *session_datet *insertion_num *paramset_idx  *alignment_nam *trial_conditi *trial_id   \n",
       "+----------+ +------------+ +------------+ +------------+ +------------+ +------------+ +----------+\n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu 2           \n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu 3           \n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu 4           \n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu 7           \n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu 8           \n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu 9           \n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu 13          \n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu 14          \n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu 15          \n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu 16          \n",
       "   ...\n",
       " (Total: 50)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis.SpikesAlignmentCondition.Trial()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68d6a35b-41be-404c-b39d-7df813d2a9de",
   "metadata": {
    "lines_to_next_cell": 0,
    "title": "a set of trials of interest to perform the analysis on - `ctrl` trials"
   },
   "source": [
    "Now, let's create another set for the stimulus condition."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1ea69400-75a0-4421-9310-8eec465b4775",
   "metadata": {
    "title": "a set of trials of interest to perform the analysis on - `stim` trials"
   },
   "outputs": [],
   "source": [
    "stim_trials = trial.Trial & clustering_key & 'trial_type = \"stim\"'\n",
    "alignment_condition = {\n",
    "    **clustering_key,\n",
    "    **alignment_key,\n",
    "    \"trial_condition\": \"stim_center_button\",\n",
    "    \"bin_size\": 0.2,\n",
    "}\n",
    "analysis.SpikesAlignmentCondition.insert1(alignment_condition, skip_duplicates=True)\n",
    "alignment_condition.pop(\"bin_size\")\n",
    "analysis.SpikesAlignmentCondition.Trial.insert(\n",
    "    (analysis.SpikesAlignmentCondition * stim_trials & alignment_condition).proj(),\n",
    "    skip_duplicates=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b77f92ae-d2ba-4894-a439-286efd5d13f6",
   "metadata": {
    "title": "a set of trials of interest to perform the analysis on - `stim` trials"
   },
   "source": [
    "We can compare conditions in the `SpikesAlignmentCondition` table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "10abfa77-a30c-4d4f-b905-51adaa6de54c",
   "metadata": {
    "title": "a set of trials of interest to perform the analysis on - `stim` trials"
   },
   "outputs": [
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       "            <thead> <tr style=\"text-align: right;\"> <th> <div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">subject</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">session_datetime</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">insertion_number</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">paramset_idx</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">alignment_name</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">trial_condition</p>\n",
       "                            <span class=\"djtooltiptext\">user-friendly name of condition</span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"nonprimary\">condition_description</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"nonprimary\">bin_size</p>\n",
       "                            <span class=\"djtooltiptext\">bin-size (in second) used to compute the PSTH</span>\n",
       "                        </div> </th> </tr> </thead>\n",
       "            <tbody> <tr> <td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>ctrl_center_button</td>\n",
       "<td></td>\n",
       "<td>0.2</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td></td>\n",
       "<td>0.2</td> </tr> </tbody>\n",
       "        </table>\n",
       "        \n",
       "        <p>Total: 2</p></div>\n",
       "        "
      ],
      "text/plain": [
       "*subject     *session_datet *insertion_num *paramset_idx  *alignment_nam *trial_conditi condition_desc bin_size    \n",
       "+----------+ +------------+ +------------+ +------------+ +------------+ +------------+ +------------+ +----------+\n",
       "subject6     2021-01-15 11: 0              0              center_button  ctrl_center_bu                0.2         \n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu                0.2         \n",
       " (Total: 2)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis.SpikesAlignmentCondition()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8125c8d8-006d-41af-9c87-5c13973cdc3f",
   "metadata": {
    "title": "a set of trials of interest to perform the analysis on - `stim` trials"
   },
   "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",
       "        #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",
       "    <b>Trials on which to compute event-aligned spikes and PSTH</b>\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</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">session_datetime</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">insertion_number</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">paramset_idx</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">alignment_name</p>\n",
       "                            <span class=\"djtooltiptext\"></span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">trial_condition</p>\n",
       "                            <span class=\"djtooltiptext\">user-friendly name of condition</span>\n",
       "                        </div></th><th><div class=\"djtooltip\">\n",
       "                            <p id=\"primary\">trial_id</p>\n",
       "                            <span class=\"djtooltiptext\">trial number (1-based indexing)</span>\n",
       "                        </div> </th> </tr> </thead>\n",
       "            <tbody> <tr> <td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td>1</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td>5</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td>6</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td>10</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td>11</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td>12</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td>17</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td>18</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td>19</td></tr><tr><td>subject6</td>\n",
       "<td>2021-01-15 11:16:38</td>\n",
       "<td>0</td>\n",
       "<td>0</td>\n",
       "<td>center_button</td>\n",
       "<td>stim_center_button</td>\n",
       "<td>21</td> </tr> </tbody>\n",
       "        </table>\n",
       "        <p>...</p>\n",
       "        <p>Total: 50</p></div>\n",
       "        "
      ],
      "text/plain": [
       "*subject     *session_datet *insertion_num *paramset_idx  *alignment_nam *trial_conditi *trial_id   \n",
       "+----------+ +------------+ +------------+ +------------+ +------------+ +------------+ +----------+\n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu 1           \n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu 5           \n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu 6           \n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu 10          \n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu 11          \n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu 12          \n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu 17          \n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu 18          \n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu 19          \n",
       "subject6     2021-01-15 11: 0              0              center_button  stim_center_bu 21          \n",
       "   ...\n",
       " (Total: 50)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis.SpikesAlignmentCondition.Trial & 'trial_condition = \"stim_center_button\"'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa873de6-8e37-4616-996a-967682a896fb",
   "metadata": {
    "title": "a set of trials of interest to perform the analysis on - `stim` trials"
   },
   "source": [
    "## Computation\n",
    "\n",
    "Now let's run the computation on these."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "623998dd-0c08-4c75-b5ad-2766f11bda6b",
   "metadata": {
    "title": "a set of trials of interest to perform the analysis on - `stim` trials"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "SpikesAlignment: 100%|██████████| 2/2 [00:16<00:00,  8.24s/it]\n"
     ]
    }
   ],
   "source": [
    "analysis.SpikesAlignment.populate(display_progress=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e80e0b70-1b75-4645-87d3-519e7f1a5ff6",
   "metadata": {
    "title": "a set of trials of interest to perform the analysis on - `stim` trials"
   },
   "source": [
    "## Visualize\n",
    "\n",
    "We can visualize the results with the `plot` function with our keys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b1f8bd26",
   "metadata": {},
   "outputs": [],
   "source": [
    "clustering_key = (\n",
    "    ephys.CuratedClustering\n",
    "    & {\n",
    "        \"subject\": \"subject6\",\n",
    "        \"session_datetime\": \"2021-01-15 11:16:38\",\n",
    "        \"insertion_number\": 0,\n",
    "    }\n",
    ").fetch1(\"KEY\")\n",
    "alignment_key = (event.AlignmentEvent & 'alignment_name = \"center_button\"').fetch1(\n",
    "    \"KEY\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "03132026-55e3-4522-9f58-ce86b94c7842",
   "metadata": {
    "title": "a set of trials of interest to perform the analysis on - `stim` trials"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alignment_condition = {\n",
    "    **clustering_key,\n",
    "    **alignment_key,\n",
    "    \"trial_condition\": \"ctrl_center_button\",\n",
    "}\n",
    "analysis.SpikesAlignment().plot(alignment_condition, unit=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e144df4c-87c1-4646-9d4b-b0009216bca1",
   "metadata": {
    "title": "a set of trials of interest to perform the analysis on - `stim` trials"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alignment_condition = {\n",
    "    **clustering_key,\n",
    "    **alignment_key,\n",
    "    \"trial_condition\": \"stim_center_button\",\n",
    "}\n",
    "analysis.SpikesAlignment().plot(alignment_condition, unit=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10198d2b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "jupytext": {
   "formats": "ipynb,py_scripts//py"
  },
  "kernelspec": {
   "display_name": "Python 3.9.13 ('ele')",
   "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": "3.9.13"
  },
  "vscode": {
   "interpreter": {
    "hash": "d00c4ad21a7027bf1726d6ae3a9a6ef39c8838928eca5a3d5f51f3eb68720410"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}