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

Memmesheimer, R.-M., & Timme, M. (2012). Non-Additive Coupling Enables Propagation of Synchronous Spiking Activity in Purely Random Networks. PLoS Computational Biology, 8(4): e1002384. doi:10.1371/journal.pcbi.1002384.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-10EB-C Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-10EC-A
Genre: Journal Article

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 Creators:
Memmesheimer, Raoul-Martin1, Author              
Timme, Marc1, Author              
Affiliations:
1Max Planck Research Group Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063295              

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 Abstract: 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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Language(s): eng - English
 Dates: 2012-04-19
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 631414
DOI: 10.1371/journal.pcbi.1002384
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Title: PLoS Computational Biology
  Alternative Title : PLOS Comp. Biol.
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 8 (4) Sequence Number: e1002384 Start / End Page: - Identifier: -