| Presentation | 2009-07-14 Basic characteristics of SOM of spiking neurons Kai KINOSHITA, Hiroyuki TORIKAI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we introduce a resonate-and-fire type spiking neuron and analyze the responce to the periodic spike inputs using return maps. Then, we consider the learning method using the resonance frequency. We make some spiking neurons a self-organizing pulse-coupled network and compare the result with that of one dimensional Kohonen network. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Spiking neuron model / Self organizing maps |
| Paper # | NLP2009-43,NC2009-36 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2009/7/6(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 | Nonlinear Problems (NLP) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Basic characteristics of SOM of spiking neurons |
| Sub Title (in English) | |
| Keyword(1) | Spiking neuron model |
| Keyword(2) | Self organizing maps |
| 1st Author's Name | Kai KINOSHITA |
| 1st Author's Affiliation | Dept. of Systems Innovation, Grad. school of Engineering Science, Osaka University() |
| 2nd Author's Name | Hiroyuki TORIKAI |
| 2nd Author's Affiliation | Dept. of Systems Innovation, Grad. school of Engineering Science, Osaka University |
| Date | 2009-07-14 |
| Paper # | NLP2009-43,NC2009-36 |
| Volume (vol) | vol.109 |
| Number (no) | 124 |
| Page | pp.pp.- |
| #Pages | 6 |
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