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

Alexander Lerchner, Mandana Ahmadi, John Hertz

Research output: Contribution to journalJournal articleResearchpeer-review


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
Pages (from-to)935-940
Publication statusPublished - 2004

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