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Proceedings Paper

Moment neuronal networks: stochastic computation in neuronal systems
Author(s): Jianfeng Feng; Yingchun Deng; Enrico Rossoni
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Paper Abstract

Spike trains recorded in cortical neurons in vivo can be approximated by renewal processes, but are generally not Poisson. Besides, the spiking activity of neighboring neurons display small yet not negligible correlations. The Artificial Neuronal Network theory has traditionally neglected such observations, assuming that neurons could simply be described by their mean firing rate. Here we present a theoretical framework in which the dynamics of a system of neurons is specified in terms of higher-order moments of their spiking activity beyond the mean firing rate.

Paper Details

Date Published: 8 June 2007
PDF: 12 pages
Proc. SPIE 6602, Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems, 66021E (8 June 2007); doi: 10.1117/12.725533
Show Author Affiliations
Jianfeng Feng, Warwick Univ. (United Kingdom)
Yingchun Deng, Hunan Univ. (China)
Enrico Rossoni, Warwick Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 6602:
Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems
Sergey M. Bezrukov, Editor(s)

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