Presentation | 2007-03-14 Filtering properties of short-term plasticity in the local neural network Yasunobu IGARASHI, NAOKI Honda, Koichi HASHIMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We theoretically investigated how short-term plasticity work as a filter in the local neural network. We found a condition where short-term depression played a role of high-pass filter and short-term facilitation did a role of low-pass filter. The condition was that a connection strength of mutual connection is much stronger than that of self connection between excitatory and inhibitory neural populations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Short-term plasticity (Short-term depression, Short-term facilitation) / Filter / Frequency response / Eigenvalue analysis |
Paper # | NC2006-126 |
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Committee | NC |
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Conference Date | 2007/3/7(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 | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Filtering properties of short-term plasticity in the local neural network |
Sub Title (in English) | |
Keyword(1) | Short-term plasticity (Short-term depression, Short-term facilitation) |
Keyword(2) | Filter |
Keyword(3) | Frequency response |
Keyword(4) | Eigenvalue analysis |
1st Author's Name | Yasunobu IGARASHI |
1st Author's Affiliation | () |
2nd Author's Name | NAOKI Honda |
2nd Author's Affiliation | |
3rd Author's Name | Koichi HASHIMOTO |
3rd Author's Affiliation | |
Date | 2007-03-14 |
Paper # | NC2006-126 |
Volume (vol) | vol.106 |
Number (no) | 588 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |