Frontiers of Electrical and Electronic Engineering >
Information geometry in neural spike sequences
Received date: 01 Jul 2010
Accepted date: 20 Oct 2010
Published date: 05 Mar 2011
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An information geometrical method is developed for characterizing or classifying neurons in cortical areas whose spike rates fluctuate in time. The interspike intervals (ISIs) of a spike sequence of a neuron is modeled as a gamma process with a time-variant spike rate, a fixed shape parameter and a fixed absolute refractory period. We formulate the problem of estimating the fixed parameters as semiparametric estimation and apply an information geometrical method to derive the optimal estimators from a statistical viewpoint.
Kazushi IKEDA , Daisuke KOMAZAWA , Hiroyuki FUNAYA . Information geometry in neural spike sequences[J]. Frontiers of Electrical and Electronic Engineering, 2011 , 6(1) : 146 -150 . DOI: 10.1007/s11460-010-0123-x
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