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Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks

Despite the current debate about the computational role of experimentally observed precise spike patterns it is still theoretically unclear under which conditions and how they may emerge in neural circuits. Here, we study spiking neural networks with non-additive dendritic interactions that were rec...

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Detalles Bibliográficos
Autores principales: Memmesheimer, Raoul-Martin, Timme, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3330086/
https://www.ncbi.nlm.nih.gov/pubmed/22532791
http://dx.doi.org/10.1371/journal.pcbi.1002384
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author Memmesheimer, Raoul-Martin
Timme, Marc
author_facet Memmesheimer, Raoul-Martin
Timme, Marc
author_sort Memmesheimer, Raoul-Martin
collection PubMed
description Despite the current debate about the computational role of experimentally observed precise spike patterns it is still theoretically unclear under which conditions and how they may emerge in neural circuits. Here, we study spiking neural networks with non-additive dendritic interactions that were recently uncovered in single-neuron experiments. We show that supra-additive dendritic interactions enable the persistent propagation of synchronous activity already in purely random networks without superimposed structures and explain the mechanism underlying it. This study adds a novel perspective on the dynamics of networks with nonlinear interactions in general and presents a new viable mechanism for the occurrence of patterns of precisely timed spikes in recurrent networks.
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spelling pubmed-33300862012-04-24 Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks Memmesheimer, Raoul-Martin Timme, Marc PLoS Comput Biol Research Article Despite the current debate about the computational role of experimentally observed precise spike patterns it is still theoretically unclear under which conditions and how they may emerge in neural circuits. Here, we study spiking neural networks with non-additive dendritic interactions that were recently uncovered in single-neuron experiments. We show that supra-additive dendritic interactions enable the persistent propagation of synchronous activity already in purely random networks without superimposed structures and explain the mechanism underlying it. This study adds a novel perspective on the dynamics of networks with nonlinear interactions in general and presents a new viable mechanism for the occurrence of patterns of precisely timed spikes in recurrent networks. Public Library of Science 2012-04-19 /pmc/articles/PMC3330086/ /pubmed/22532791 http://dx.doi.org/10.1371/journal.pcbi.1002384 Text en Memmesheimer, Timme. 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
Memmesheimer, Raoul-Martin
Timme, Marc
Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks
title Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks
title_full Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks
title_fullStr Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks
title_full_unstemmed Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks
title_short Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks
title_sort non-additive coupling enables propagation of synchronous spiking activity in purely random networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3330086/
https://www.ncbi.nlm.nih.gov/pubmed/22532791
http://dx.doi.org/10.1371/journal.pcbi.1002384
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