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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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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Committee | NC |
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Conference Date | 2001/10/12(1days) |
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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 |