| Presentation | 2014-12-13 Analysis of Digital Spike-Maps based on the Feature Quantity Plane Hiroki YAMAOKA, Toshimichi SAITO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper studies dynamic of digital spike maps: simple digital dynamical systems that can generate various periodic spike-trains. In order to consider the periodic and transient spike-trains, we presents two feature quantities: The number of co-existing periodic spike-trains late, the concentricity of transient spike-trains. Using these two feature quantities, we construct the feature quantities plane. The feature quantities plane is useful in visualization, classification and consideration of the spike-train dynamics. The usefulness is confirmed in numerical experiment of typical example based on the analog bifurcating neurons. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Digital Spike Phase Map / Spiking neurons / concentricity |
| Paper # | NC2014-50 |
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| Committee | NC |
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| Conference Date | 2014/12/6(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Analysis of Digital Spike-Maps based on the Feature Quantity Plane |
| Sub Title (in English) | |
| Keyword(1) | Digital Spike Phase Map |
| Keyword(2) | Spiking neurons |
| Keyword(3) | concentricity |
| 1st Author's Name | Hiroki YAMAOKA |
| 1st Author's Affiliation | EE Dept., Hosei University() |
| 2nd Author's Name | Toshimichi SAITO |
| 2nd Author's Affiliation | EE Dept., Hosei University |
| Date | 2014-12-13 |
| Paper # | NC2014-50 |
| Volume (vol) | vol.114 |
| Number (no) | 362 |
| Page | pp.pp.- |
| #Pages | 6 |
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