| Presentation | 2008-11-08 Response characteristics and Learning of a Hybrid Spiking Neuron Sho HASHIMOTO, 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 propose a hybrid spiking neuron (HSN). A HSN can exhibit various bifurcation phenomena and response characteristics of inter spike intervals. Using a discrete/continuous-states hybrid map, we can describe the dynamics of the HSN. In addition, we propose a learning algorithm of the hybrid spiking neuron and show that the neuron can approximate given response characteristics of inter spike intervals. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Spiking neuron / Learning / Hybrid dynamical system / Bifurcation |
| Paper # | NC2008-69 |
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| Committee | NC |
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| Conference Date | 2008/10/31(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Neurocomputing (NC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Response characteristics and Learning of a Hybrid Spiking Neuron |
| Sub Title (in English) | |
| Keyword(1) | Spiking neuron |
| Keyword(2) | Learning |
| Keyword(3) | Hybrid dynamical system |
| Keyword(4) | Bifurcation |
| 1st Author's Name | Sho HASHIMOTO |
| 1st Author's Affiliation | Graduate School of Engineering Science, Osaka University() |
| 2nd Author's Name | Hiroyuki TORIKAI |
| 2nd Author's Affiliation | Graduate School of Engineering Science, Osaka University |
| Date | 2008-11-08 |
| Paper # | NC2008-69 |
| Volume (vol) | vol.108 |
| Number (no) | 281 |
| Page | pp.pp.- |
| #Pages | 5 |
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