Feng, Jianfeng, Deng, Yingchun and Rossoni, Enrico (2007) Moment neuronal networks: stochastic computation in neuronal systems - art. no. 66021E. In: Conference on Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems, Florence, ITALY, MAY 21-23, 2007. Published in: Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems, 6602 E6021-E6021.

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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.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QC Physics
Divisions:	Faculty of Science > Centre for Scientific Computing Faculty of Science > Computer Science
Series Name:	PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Journal or Publication Title:	Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems
Publisher:	SPIE-INT SOC OPTICAL ENGINEERING
ISBN:	978-0-8194-6739-3
ISSN:	0277-786X
Editor:	Bezrukov, SM
Date:	2007
Volume:	6602
Number of Pages:	12
Page Range:	E6021-E6021
Identification Number:	10.1117/12.725533
Publication Status:	Published
Title of Event:	Conference on Noise and Fluctuations in Biological, Biophysical, and Biomedical Systems
Location of Event:	Florence, ITALY
Date(s) of Event:	MAY 21-23, 2007
URI:	http://wrap.warwick.ac.uk/id/eprint/31031

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