| Presentation | 2001/10/12 Analysis of the discrmination mechanism of temporal information by a neural network model incorporating short term synaptic plasticity Takuya FUKAGAI, Kiyohiko NAKAMURA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Amplitudes of excitatory post synaptic potentials depend on the history of synaptic transmission traced back several hundred to several thousand milli-seconds. In this study, we constructed a neural network model consisting of several hundred neurons which have abve transmission property, and examined the temporal dis-crimination ability of this model through computer simulation. The result is that the number of neuronal spikes reflects the difference of interval length. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | biological neural network / temporal information / depressing synapse / temporal congnition |
| Paper # | NC2001-61 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2001/10/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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 the discrmination mechanism of temporal information by a neural network model incorporating short term synaptic plasticity |
| Sub Title (in English) | |
| Keyword(1) | biological neural network |
| Keyword(2) | temporal information |
| Keyword(3) | depressing synapse |
| Keyword(4) | temporal congnition |
| 1st Author's Name | Takuya FUKAGAI |
| 1st Author's Affiliation | Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
| 2nd Author's Name | Kiyohiko NAKAMURA |
| 2nd Author's Affiliation | Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology |
| Date | 2001/10/12 |
| Paper # | NC2001-61 |
| Volume (vol) | vol.101 |
| Number (no) | 365 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |