Information geometry of interspike intervals in spiking neurons with refractories

Authors:
Daisuke Komazawa;Kazushi Ikeda;Hiroyuki Funaya
Affiliations:
Graduate School of Informatics, Kyoto University, Kyoto, Japan;Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma, Japan;Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma, Japan
Venue:
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Year:
2008

Citing 7
Cited 0

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Abstract

An information geometrical method is developed for characterizing or classifying neurons in cortical areas, whose spike rates fluctuate in time. When the interspike intervals of a spike sequence of a neuron obey a gamma process with a time-variant spike rate and a fixed shape parameter, the information geometry for semiparametric estimation has given the optimal method from the statistical viewpoint. Recently a more suitable statistical model for interspike intervals is proposed, which have an absolute refractory period. This work extends the information geometrical method and derives the optimal method for the new model.