| Presentation | 2007-04-25 Digital spiking neuron and its approximation ability of spike-trains Hiroyuki TORIKAI, Toshimichi SAITO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A digital spiking neuron (DSN) consists of shift registers and can generate spike-trains with various patterns of inter-spike intervals. In this paper we study a learning algorithm for the DSN in order to approximate given spike-trains. As an example problem setting, we study a case where a DSN accepts a spike-train from a chaotic analog spiking neuron as a teacher signal. It is shown that the DSN can approximate a sampled chaotic spike-train with a small error based on the learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Spiking neuron / Pulse-coupled network / shift register generator / Cellular Automata / FPGA / Learning |
| Paper # | NLP2007-1 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2007/4/18(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 | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Digital spiking neuron and its approximation ability of spike-trains |
| Sub Title (in English) | |
| Keyword(1) | Spiking neuron |
| Keyword(2) | Pulse-coupled network |
| Keyword(3) | shift register generator |
| Keyword(4) | Cellular Automata |
| Keyword(5) | FPGA |
| Keyword(6) | Learning |
| 1st Author's Name | Hiroyuki TORIKAI |
| 1st Author's Affiliation | Dept. of Systems Innovation, Grad. School of Engineering Science, Osaka University() |
| 2nd Author's Name | Toshimichi SAITO |
| 2nd Author's Affiliation | EECE Dept., Hosei University |
| Date | 2007-04-25 |
| Paper # | NLP2007-1 |
| Volume (vol) | vol.107 |
| Number (no) | 21 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |