High conductance states in a mean field cortical network model
| dc.creator | Lerchner, Alexander | |
| dc.creator | Ahmadi, Mandana | |
| dc.creator | Hertz, John | |
| dc.date | 2004-02-11 | |
| dc.date.accessioned | 2026-07-07T05:58:13Z | |
| dc.date.available | 2026-07-07T05:58:13Z | |
| dc.description | 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 due to the tendency of spikes being clustered into bursts. 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. | |
| dc.description | 7 pages, 3 figures, presented at CNS 2003, to be published in Neurocomputing | |
| dc.identifier | https://arxiv.org/abs/q-bio/0402026 | |
| dc.identifier | http://arxiv.org/abs/q-bio/0402026 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/88279 | |
| dc.subject | Neurons and Cognition | |
| dc.title | High conductance states in a mean field cortical network model | |
| dc.type | text |