High-conductance states in a mean-field cortical network model

Alexander Lerchner, Mandana Ahmadi, John Hertz

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Measured responses from visual cortical neurons show that spike times tend to be correlated rather than exactly Poisson distributed. Fano factors vary and are usually greater than 1, indicating a tendency toward spikes being clustered. We show that this behavior emerges naturally in a balanced cortical network model with random connectivity and conductance-based synapses. We employ mean-field theory with correctly colored noise to describe temporal correlations in the neuronal activity. Our results illuminate the connection between two independent experimental findings: high-conductance states of cortical neurons in their natural environment, and variable non-Poissonian spike statistics with Fano factors greater than 1. (C) 2004 Elsevier B.V. All rights reserved.
Original languageEnglish
JournalNeurocomputing
Volume58-60
Pages (from-to)935-940
ISSN0925-2312
DOIs
Publication statusPublished - 2004

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