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Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns
Networks of well-known dynamical units but unknown interaction topology arise across various fields of biology, including genetics, ecology, and neuroscience. The collective dynamics of such networks is often sensitive to the presence (or absence) of individual interactions, but there is usually no...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3034213/ https://www.ncbi.nlm.nih.gov/pubmed/21344004 http://dx.doi.org/10.3389/fncom.2011.00003 |
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author | Van Bussel, Frank Kriener, Birgit Timme, Marc |
author_facet | Van Bussel, Frank Kriener, Birgit Timme, Marc |
author_sort | Van Bussel, Frank |
collection | PubMed |
description | Networks of well-known dynamical units but unknown interaction topology arise across various fields of biology, including genetics, ecology, and neuroscience. The collective dynamics of such networks is often sensitive to the presence (or absence) of individual interactions, but there is usually no direct way to probe for their existence. Here we present an explicit method for reconstructing interaction networks of leaky integrate-and-fire neurons from the spike patterns they exhibit in response to external driving. Given the dynamical parameters are known, the approach works well for networks in simple collective states but is also applicable to networks exhibiting complex spatio-temporal spike patterns. In particular, stationarity of spiking time series is not required. |
format | Text |
id | pubmed-3034213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-30342132011-02-22 Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns Van Bussel, Frank Kriener, Birgit Timme, Marc Front Comput Neurosci Neuroscience Networks of well-known dynamical units but unknown interaction topology arise across various fields of biology, including genetics, ecology, and neuroscience. The collective dynamics of such networks is often sensitive to the presence (or absence) of individual interactions, but there is usually no direct way to probe for their existence. Here we present an explicit method for reconstructing interaction networks of leaky integrate-and-fire neurons from the spike patterns they exhibit in response to external driving. Given the dynamical parameters are known, the approach works well for networks in simple collective states but is also applicable to networks exhibiting complex spatio-temporal spike patterns. In particular, stationarity of spiking time series is not required. Frontiers Research Foundation 2011-02-01 /pmc/articles/PMC3034213/ /pubmed/21344004 http://dx.doi.org/10.3389/fncom.2011.00003 Text en Copyright © 2011 Van Bussel, Kriener and Timme. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and Frontiers Media SA, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Van Bussel, Frank Kriener, Birgit Timme, Marc Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns |
title | Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns |
title_full | Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns |
title_fullStr | Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns |
title_full_unstemmed | Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns |
title_short | Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns |
title_sort | inferring synaptic connectivity from spatio-temporal spike patterns |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3034213/ https://www.ncbi.nlm.nih.gov/pubmed/21344004 http://dx.doi.org/10.3389/fncom.2011.00003 |
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