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[Feature] Merging "Total spiking probability edges" into elephant (Ne…
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…uralEnsemble#560)

* Feat: Add basic scaffold for total_spiking_probability_edges

* Feat: Add filterpair generation

* Feat: Add normalized_cross_correlation

* Feat: Add total_spiking_probability_edges

* Refactor: Rename filter parameters

* Feat: Add function to compute connectivity_matrix

* Feat: Combine total_spiking_probability_edges and get_connectivty_matrix

* Docs: Explenation why mean values are ommited in NCC

* Refactor: Naming conventions

* Fix: Extra dimension on delay_matrix

* Test: Add test for total_spiking_probability_edges

* Fix: Incorrect repo path

* Fix Incorrect repo path part 2

* Docs: Add further documentation

* docs: Fix typos

Co-authored-by: Moritz Kern <[email protected]>

* fixed pep8 issue in total_spiking_probability_edges.py

* fixed pep8 issue in test_total_spiking_probability_edges.py

* convert tests to unittest.TestCase classes

* add zenodo info

---------

Co-authored-by: Moritz Kern <[email protected]>
Co-authored-by: Moritz-Alexander-Kern <[email protected]>
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5 changes: 5 additions & 0 deletions .zenodo.json
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Expand Up @@ -9,6 +9,11 @@
"orcid": "0000-0001-7292-1982",
"affiliation": "Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany",
"name": "Kern, Moritz"
},
{
"orcid": "0009-0003-9352-9826",
"affiliation": "BioMEMS Lab, University of Applied Sciences Aschaffenburg, Germany",
"name": "Richter, Felician"
}
],

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1 change: 1 addition & 0 deletions doc/authors.rst
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Expand Up @@ -51,6 +51,7 @@ contribution, and may not be the current affiliation of a contributor.
* Florian Porrmann [13]
* Sarah Pilz [13]
* Oliver Kloß [1]
* Felician Richter [12]

1. Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany
2. Unité de Neurosciences, Information et Complexité, CNRS UPR 3293, Gif-sur-Yvette, France
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14 changes: 14 additions & 0 deletions doc/bib/elephant.bib
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Expand Up @@ -466,3 +466,17 @@ @article{Deger12_443
title = {Statistical properties of superimposed stationary spike trains},
volume = 32,
year = 2012}


@article{de_blasi19_169,
title = {Total spiking probability edges: {A} cross-correlation based method for effective connectivity estimation of cortical spiking neurons},
volume = {312},
shorttitle = {Total spiking probability edges},
doi = {10.1016/j.jneumeth.2018.11.013},
language = {en},
journal = {Journal of Neuroscience Methods},
author = {{De Blasi}, Stefano and Ciba, Manuel and Bahmer, Andreas and Thielemann, Christiane},
month = jan,
year = {2019},
pages = {169--181},
}
6 changes: 6 additions & 0 deletions doc/modules.rst
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Expand Up @@ -32,11 +32,17 @@ Spike trains
reference/_spike_train_processing
reference/_spike_train_patterns

.. toctree::
:maxdepth: 1

reference/functional_connectivity_estimation.rst

.. toctree::
:maxdepth: 1

reference/change_point_detection
reference/gpfa

.. toctree::
:maxdepth: 1

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5 changes: 5 additions & 0 deletions doc/reference/functional_connectivity_estimation.rst
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==================================
Functional connectivity estimation
==================================

.. automodule:: elephant.functional_connectivity
31 changes: 31 additions & 0 deletions elephant/functional_connectivity.py
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"""
Functions for analysing and estimating firing-patterns and connectivity among neurons
in order to better understand the underlying neural-networks and information-flow
between neurons.
Network connectivity estimation
*******************************
.. autosummary::
:toctree: _toctree/functional_connectivity/
total_spiking_probability_edges
References
----------
.. bibliography::
:keyprefix: functional_connectivity-
:copyright: Copyright 2014-2023 by the Elephant team, see `doc/authors.rst`.
:license: Modified BSD, see LICENSE.txt for details.
"""

from elephant.functional_connectivity_src.total_spiking_probability_edges import (
total_spiking_probability_edges,
)

__all__ = ["total_spiking_probability_edges"]

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