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ID: 15160.0, MPI für Dynamik und Selbstorganisation / Nichtlineare Dynamik
The ground state of cortical feed-forward networks
Authors:Tetzlaff, T.; Geisel, T.; Diesmann, M.
Language:English
Date of Publication (YYYY-MM-DD):2002-06
Title of Journal:Neurocomputing
Journal Abbrev.:Neurocomputing
Volume:44
Start Page:673
End Page:678
Review Status:Peer-review
Audience:Not Specified
Abstract / Description: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.
Free Keywords:spike pattern; spike synchronization; synfire chain; pulse packet; rate model
External Publication Status:published
Document Type:Article
Communicated by:Folkert Müller-Hoissen
Affiliations:MPI für Dynamik und Selbstorganisation
Identifiers:ISI:000176839200098 [ID No:1]
ISSN:0925-2312 [ID No:2]
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