Presentation	2005/6/16 On an extension of ISI reconstruction Gen HORI, Masato OKADA, Tomoki FUKAI,
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Abstract(in English)	Since Sauer has shown that the attractors of input signals of neurons can be reconstructed from their output interspike intervals, several attempts have been made to extend this method to more complex neuron models and apply this method to real data obtained from physiological experiments. This paper proposes another way of reconstructing the attractors from interspike intervals, which estimates continuous input signals from output interspike intervals and embeds the estimated input signals using Takens's method.
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Keyword(in English)	ISI (interspike interval) / sampling theorem / embedding / dynamical system
Paper #	NC2005-8
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Conference Information
Committee	NC
Conference Date	2005/6/16(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)	On an extension of ISI reconstruction
Sub Title (in English)
Keyword(1)	ISI (interspike interval)
Keyword(2)	sampling theorem
Keyword(3)	embedding
Keyword(4)	dynamical system
1st Author's Name	Gen HORI
1st Author's Affiliation	Brain Science Institute, RIKEN()
2nd Author's Name	Masato OKADA
2nd Author's Affiliation	Graduate School of Frontier Science, University of Tokyo
3rd Author's Name	Tomoki FUKAI
3rd Author's Affiliation	Brain Science Institute, RIKEN
Date	2005/6/16
Paper #	NC2005-8
Volume (vol)	vol.105
Number (no)	130
Page	pp.pp.-
#Pages	5
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