Presentation	2013-10-29 Basic Classification of Dynamics from Digital Spike Maps Toshimichi SAITO, Narutoshi HORIMOTO,
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Abstract(in English)	This paper studies various transient- and steady-state spike-trains generated by the digital spike map: a simple digital dynamical system from a set of one-dimensional lattice points to itself. In order to consider the spike-train, three feature quantities are presented: the number of periodic spike-trains that can characterize richness of the steady states, the concentricity of spike-position transition that can characterize transition of map, and the concentricity of direct transition to the periodic spike-trains that can characterize local stability of the steady state. Based on these quantities, we give basic classification of dynamics of the map.
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Keyword(in English)	Spiking neurons / concentricity
Paper #	NLP2013-99
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Conference Information
Committee	NLP
Conference Date	2013/10/21(1days)
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Paper Information
Registration To	Nonlinear Problems (NLP)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Basic Classification of Dynamics from Digital Spike Maps
Sub Title (in English)
Keyword(1)	Spiking neurons
Keyword(2)	concentricity
1st Author's Name	Toshimichi SAITO
1st Author's Affiliation	EE Dept., Hosei University()
2nd Author's Name	Narutoshi HORIMOTO
2nd Author's Affiliation	EE Dept., Hosei University
Date	2013-10-29
Paper #	NLP2013-99
Volume (vol)	vol.113
Number (no)	271
Page	pp.pp.-
#Pages	5
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