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Noise Suppression and Surplus Synchrony by Coincidence Detection
The functional significance of correlations between action potentials of neurons is still a matter of vivid debate. In particular, it is presently unclear how much synchrony is caused by afferent synchronized events and how much is intrinsic due to the connectivity structure of cortex. The available...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617020/ https://www.ncbi.nlm.nih.gov/pubmed/23592953 http://dx.doi.org/10.1371/journal.pcbi.1002904 |
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author | Schultze-Kraft, Matthias Diesmann, Markus Grün, Sonja Helias, Moritz |
author_facet | Schultze-Kraft, Matthias Diesmann, Markus Grün, Sonja Helias, Moritz |
author_sort | Schultze-Kraft, Matthias |
collection | PubMed |
description | The functional significance of correlations between action potentials of neurons is still a matter of vivid debate. In particular, it is presently unclear how much synchrony is caused by afferent synchronized events and how much is intrinsic due to the connectivity structure of cortex. The available analytical approaches based on the diffusion approximation do not allow to model spike synchrony, preventing a thorough analysis. Here we theoretically investigate to what extent common synaptic afferents and synchronized inputs each contribute to correlated spiking on a fine temporal scale between pairs of neurons. We employ direct simulation and extend earlier analytical methods based on the diffusion approximation to pulse-coupling, allowing us to introduce precisely timed correlations in the spiking activity of the synaptic afferents. We investigate the transmission of correlated synaptic input currents by pairs of integrate-and-fire model neurons, so that the same input covariance can be realized by common inputs or by spiking synchrony. We identify two distinct regimes: In the limit of low correlation linear perturbation theory accurately determines the correlation transmission coefficient, which is typically smaller than unity, but increases sensitively even for weakly synchronous inputs. In the limit of high input correlation, in the presence of synchrony, a qualitatively new picture arises. As the non-linear neuronal response becomes dominant, the output correlation becomes higher than the total correlation in the input. This transmission coefficient larger unity is a direct consequence of non-linear neural processing in the presence of noise, elucidating how synchrony-coded signals benefit from these generic properties present in cortical networks. |
format | Online Article Text |
id | pubmed-3617020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36170202013-04-16 Noise Suppression and Surplus Synchrony by Coincidence Detection Schultze-Kraft, Matthias Diesmann, Markus Grün, Sonja Helias, Moritz PLoS Comput Biol Research Article The functional significance of correlations between action potentials of neurons is still a matter of vivid debate. In particular, it is presently unclear how much synchrony is caused by afferent synchronized events and how much is intrinsic due to the connectivity structure of cortex. The available analytical approaches based on the diffusion approximation do not allow to model spike synchrony, preventing a thorough analysis. Here we theoretically investigate to what extent common synaptic afferents and synchronized inputs each contribute to correlated spiking on a fine temporal scale between pairs of neurons. We employ direct simulation and extend earlier analytical methods based on the diffusion approximation to pulse-coupling, allowing us to introduce precisely timed correlations in the spiking activity of the synaptic afferents. We investigate the transmission of correlated synaptic input currents by pairs of integrate-and-fire model neurons, so that the same input covariance can be realized by common inputs or by spiking synchrony. We identify two distinct regimes: In the limit of low correlation linear perturbation theory accurately determines the correlation transmission coefficient, which is typically smaller than unity, but increases sensitively even for weakly synchronous inputs. In the limit of high input correlation, in the presence of synchrony, a qualitatively new picture arises. As the non-linear neuronal response becomes dominant, the output correlation becomes higher than the total correlation in the input. This transmission coefficient larger unity is a direct consequence of non-linear neural processing in the presence of noise, elucidating how synchrony-coded signals benefit from these generic properties present in cortical networks. Public Library of Science 2013-04-04 /pmc/articles/PMC3617020/ /pubmed/23592953 http://dx.doi.org/10.1371/journal.pcbi.1002904 Text en © 2013 Schultze-Kraft et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Schultze-Kraft, Matthias Diesmann, Markus Grün, Sonja Helias, Moritz Noise Suppression and Surplus Synchrony by Coincidence Detection |
title | Noise Suppression and Surplus Synchrony by Coincidence Detection |
title_full | Noise Suppression and Surplus Synchrony by Coincidence Detection |
title_fullStr | Noise Suppression and Surplus Synchrony by Coincidence Detection |
title_full_unstemmed | Noise Suppression and Surplus Synchrony by Coincidence Detection |
title_short | Noise Suppression and Surplus Synchrony by Coincidence Detection |
title_sort | noise suppression and surplus synchrony by coincidence detection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3617020/ https://www.ncbi.nlm.nih.gov/pubmed/23592953 http://dx.doi.org/10.1371/journal.pcbi.1002904 |
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