Statistical Procedures for Spatiotemporal Neuronal Data with Applications to Optical Recording of the Auditory Cortex

Authors:
O. François;L. Mohammed Abdallahi;J. Horikawa;I. Taniguchi;T. Hervé
Affiliations:
Department of Statistics, LMC-IMAG, BP 53, 38041 Grenoble cedex 9, France;Department of Statistics, LMC-IMAG, BP 53, 38041 Grenoble cedex 9, France;Department of Neurophysiology, Tokyo Medical and Dental University, Kanda-surugadai 2-3-10, Tokyo 101, Japan;Department of Neurophysiology, Tokyo Medical and Dental University, Kanda-surugadai 2-3-10, Tokyo 101, Japan;TIMC-IMAG, Faculté de Médecine, IAB, 38700 La Tranche, France
Venue:
Neural Computation
Year:
2000

Citing 3
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Abstract

This article presents new procedures for multisite spatiotemporal neuronal data analysis. A new statistical model - the diffusion model - is considered, whose parameters can be estimated from experimental data thanks to mean-field approximations. This work has been applied to optical recording of the guinea pig's auditory cortex (layers II-III). The rates of innovation and internal diffusion inside the stimulated area have been estimated. The results suggest that the activity of the layer balances between the alternate predominance of its innovation process and its internal process.