In:
The Journal of Neuroscience, Society for Neuroscience, Vol. 31, No. 45 ( 2011-11-09), p. 16217-16226
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
0270-6474
,
1529-2401
DOI:
10.1523/JNEUROSCI.1677-11.2011
Language:
English
Publisher:
Society for Neuroscience
Publication Date:
2011
detail.hit.zdb_id:
1475274-8
SSG:
12
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