Presentation 2005/11/12
Analysis of Basic Dynamics of a Digital Spiking Neuron
Hiroyuki TORIKAI, Toshimichi SAITO,
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Abstract(in English) The Digital Spiking Neuron (DSN) has discrete-time and discrete-state, and can generate spike-trains having various spike intervals patterns. In this paper we propose an analysis method for the spike-trains. Using the method, we can clarify the number of co-existing periodic spike-trains with respect to initial state, periods of these spike-trains, existence of transient phenomena to periodic oscillation, and so on. We then discuss fundamentals of synthesis method of DSN that can generate spike-trains having some desired characteristics. Also we consider encoding method of binary vector informations into the spike-train of DSN.
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Keyword(in English) Spiking Neuron / Spike-train / Pulse-coupled network / Cellular Automata / Ultra-discrete system / FPGA
Paper # NC2005-70
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Committee NC
Conference Date 2005/11/12(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of Basic Dynamics of a Digital Spiking Neuron
Sub Title (in English)
Keyword(1) Spiking Neuron
Keyword(2) Spike-train
Keyword(3) Pulse-coupled network
Keyword(4) Cellular Automata
Keyword(5) Ultra-discrete system
Keyword(6) FPGA
1st Author's Name Hiroyuki TORIKAI
1st Author's Affiliation EECE Dept., Hosei University()
2nd Author's Name Toshimichi SAITO
2nd Author's Affiliation EECE Dept., Hosei University
Date 2005/11/12
Paper # NC2005-70
Volume (vol) vol.105
Number (no) 419
Page pp.pp.-
#Pages 6
Date of Issue