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

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 corti...

Full description

Saved in:
Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2004-06, Vol.58, p.935-940
Main Authors: Lerchner, Alexander, Ahmadi, Mandana, Hertz, John
Format: Article
Language:English
Subjects:
Cortical dynamics
Response variability
Synaptic conductances
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2004.01.149