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

Journal Article (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 9, 2011

Published In

Volume / Issue

  • 31 / 45

Start / End Page

  • 16217 - 16226

PubMed ID

  • 22072673

Pubmed Central ID

  • PMC6633220

Electronic International Standard Serial Number (EISSN)

  • 1529-2401

Digital Object Identifier (DOI)

  • 10.1523/JNEUROSCI.1677-11.2011


  • eng

Conference Location

  • United States