Presentation	2004/12/3 Information Geometry of Interspike Intervals in Spiking Neurons Kazushi IKEDA,
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Abstract(in English)	An information geometrical method is developed for characterizing or classifying neurons in cortical areas. Under the assumption that the interspike intervals of a spike sequence of a neuron obey a gamma distribution with a variable spike rate, we formulate the problem of characterization as a semiparametric statistical estimation. We also show that some existing measures, such as the coefficient of variation and the local variation, are expressed as an approximate solution of the problem under certain assumptions and propose better criteria under the same assumptions.
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Keyword(in English)	information geometry / interspike intervals / semiparametric model / gamma distributions / local variation
Paper #	NC2004-109
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Conference Information
Committee	NC
Conference Date	2004/12/3(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Information Geometry of Interspike Intervals in Spiking Neurons
Sub Title (in English)
Keyword(1)	information geometry
Keyword(2)	interspike intervals
Keyword(3)	semiparametric model
Keyword(4)	gamma distributions
Keyword(5)	local variation
1st Author's Name	Kazushi IKEDA
1st Author's Affiliation	Kyoto University()
Date	2004/12/3
Paper #	NC2004-109
Volume (vol)	vol.104
Number (no)	502
Page	pp.pp.-
#Pages	6
Date of Issue