On the distribution of firing rates in networks of cortical neurons.

Published

Journal Article

The distribution of in vivo average firing rates within local cortical networks has been reported to be highly skewed and long tailed. The distribution of average single-cell inputs, conversely, is expected to be Gaussian by the central limit theorem. This raises the issue of how a skewed distribution of firing rates might result from a symmetric distribution of inputs. We argue that skewed rate distributions are a signature of the nonlinearity of the in vivo f-I curve. During in vivo conditions, ongoing synaptic activity produces significant fluctuations in the membrane potential of neurons, resulting in an expansive nonlinearity of the f-I curve for low and moderate inputs. Here, we investigate the effects of single-cell and network parameters on the shape of the f-I curve and, by extension, on the distribution of firing rates in randomly connected networks.

Full Text

Duke Authors

Cited Authors

  • Roxin, A; Brunel, N; Hansel, D; Mongillo, G; van Vreeswijk, C

Published Date

  • November 2011

Published In

Volume / Issue

  • 31 / 45

Start / End Page

  • 16217 - 16226

PubMed ID

  • 22072673

Pubmed Central ID

  • 22072673

Electronic International Standard Serial Number (EISSN)

  • 1529-2401

International Standard Serial Number (ISSN)

  • 0270-6474

Digital Object Identifier (DOI)

  • 10.1523/jneurosci.1677-11.2011

Language

  • eng