Presentation	1995/7/27 Analysis of Neural Firing Frequency by a Generalized Linear Model Mitsuo Kawato,
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Abstract(in English)	I propose a generalized linear model for analysis of firing frequency, which can be used for neurophysiological data with a small number of traces and/or with low firing frequency. This model is based on the following fundamental assumptions. Observed number of spike firings obtained in a finite number m traces obeys the bionmial distribution with the occurence probability π of the event. The occurence probability π is described as the sigmoid function (inverse of logistic function) of a linear weighted summation of several funcions in time. Parameter values in the linear weighted summation can be estimated by the maximum likelihood estimation method by a small number of iteration. Variance of the estiamted parameters can also be evalutaed by a simple formula.
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Keyword(in English)	Generalized linear model / Firing number / Maximum-likelihood estimation / Deviance
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Conference Information
Committee	NC
Conference Date	1995/7/27(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Analysis of Neural Firing Frequency by a Generalized Linear Model
Sub Title (in English)
Keyword(1)	Generalized linear model
Keyword(2)	Firing number
Keyword(3)	Maximum-likelihood estimation
Keyword(4)	Deviance
1st Author's Name	Mitsuo Kawato
1st Author's Affiliation	ATR Human Information Processing Research Laboratories()
Date	1995/7/27
Paper #
Volume (vol)	vol.95
Number (no)	189
Page	pp.pp.-
#Pages	8
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