Moment neuronal networks: stochastic computation in neuronal systems - art. no. 66021E
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.Full text not available from this repository.
Official URL: http://dx.doi.org/10.1117/12.725533
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|
|Number of Pages:||12|
|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|
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