Presentation 2012-11-17
Basic Feature Quantity and Analysis of Digital Spike Phase Maps
Narutoshi HORIMOTO, Toshimichi SAITO,
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Abstract(in English) This paper studies digital spike maps that can output various digital spike-trains. The maps can generate a variety of digital spike-trains depending on parameters and initial values. As a preparation to analyze the rich dynamics, we define basic feature quantity of the dynamics such as the number of periodic spike-trains and maximum number of transient mappings to a steady state. We analyze a typical example of the digital spike maps given by discretizing the bifurcating neuron. Analysis and classification of digital spike-trains are important not only as basic study but also for engineering applications. The digital spike map is a mapping from a set of lattice points to itself and is a simple digital dynamical systems. Our results may contribute to the develop a novel dynamical system theory.
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Keyword(in English) spiking neurons / digital spike-trains
Paper # NC2012-73
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Committee NC
Conference Date 2012/11/9(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) Basic Feature Quantity and Analysis of Digital Spike Phase Maps
Sub Title (in English)
Keyword(1) spiking neurons
Keyword(2) digital spike-trains
1st Author's Name Narutoshi HORIMOTO
1st Author's Affiliation Faculty of Science and Engineering, Department of Electrical and Electronics Engineering, Hosei University()
2nd Author's Name Toshimichi SAITO
2nd Author's Affiliation Faculty of Science and Engineering, Department of Electrical and Electronics Engineering, Hosei University
Date 2012-11-17
Paper # NC2012-73
Volume (vol) vol.112
Number (no) 298
Page pp.pp.-
#Pages 4
Date of Issue