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  The ground state of cortical feed-forward networks

Tetzlaff, T., Geisel, T., & Diesmann, M. (2002). The ground state of cortical feed-forward networks. Neurocomputing, 44, 673-678.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-177F-E Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-1780-8
Genre: Journal Article

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 Creators:
Tetzlaff, T.1, Author              
Geisel, T.1, Author              
Diesmann, M.1, Author              
Affiliations:
1Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063286              

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Free keywords: spike pattern; spike synchronization; synfire chain; pulse packet; rate model
 Abstract: The occurrence of spatio-temporal spike patterns in the cortex is explained by models of divergent/convergent feed-forward subnetworks-synfire chains. Their excited mode is characterized by spike volleys propagating from one neuron group to the next. We demonstrate the existence of an upper bound for group size: above a critical value synchronous activity develops spontaneously from random fluctuations. Stability of the ground state, in which neurons independently fire at low rates, is lost. Comparison of an analytic rate model with network simulations shows that the transition from the asynchronous into the synchronous regime is driven by an instability in rate dynamics. (C) 2002 Elsevier Science B.V. All rights reserved.

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Language(s): eng - English
 Dates: 2002-06
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 15160
ISI: 000176839200098
 Degree: -

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Title: Neurocomputing
  Alternative Title : Neurocomputing
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 44 Sequence Number: - Start / End Page: 673 - 678 Identifier: ISSN: 0925-2312