| Presentation | 2014-03-11 Digital Spike Maps based on the Bifurcating Neurons Hiroki YAMAOKA, Narutoshi HORIMOTO, Toshimichi SAITO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper studies basic dynamics of a digital spike-phase map from a set of lattice points to itself. Depending on parameters and initial value, the map can generate various periodic/transient spike-trains (PST/TST). In order to consider the dynamics, four feature quantities are presented: the number of PSTs, the maximum period of PSTs, the concentricity of the TSTs and the maximum transient steps of the TSTs. Using these quantities, we analyze a typical example based on the bifurcating neuron and try to classify the basic dynamics. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Digital spike maps / spiking neurons / concentricity |
| Paper # | NLP2013-184 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2014/3/3(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Digital Spike Maps based on the Bifurcating Neurons |
| Sub Title (in English) | |
| Keyword(1) | Digital spike maps |
| Keyword(2) | spiking neurons |
| Keyword(3) | concentricity |
| 1st Author's Name | Hiroki YAMAOKA |
| 1st Author's Affiliation | EE Dept., Ilosei University() |
| 2nd Author's Name | Narutoshi HORIMOTO |
| 2nd Author's Affiliation | EE Dept., Ilosei University |
| 3rd Author's Name | Toshimichi SAITO |
| 3rd Author's Affiliation | EE Dept., Ilosei University |
| Date | 2014-03-11 |
| Paper # | NLP2013-184 |
| Volume (vol) | vol.113 |
| Number (no) | 486 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |