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(Neural Computation. 2000;12:1821-1838.)
© 2000 The MIT Press


Letter

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

O. François

Department of Statistics, LMC-IMAG, BP 53, 38041 Grenoble cedex 9, France

L. Mohamed Abdallahi

Department of Statistics, LMC-IMAG, BP 53, 38041 Grenoble cedex 9, France

J. Horikawa

Department of Neurophysiology, Tokyo Medical and Dental University, Kanda-surugadai 2-3-10, Tokyo 101, Japan

I. Taniguchi

Department of Neurophysiology, Tokyo Medical and Dental University, Kanda-surugadai 2-3-10, Tokyo 101, Japan

T. Hervé

TIMC-IMAG, Faculté de Médecine, IAB, 38700 La Tranche, France

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.







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