Presentation | 2005/3/22 Analyzing local excitation in a neural field model Shigeru Kubota, Kosuke Hamaguchi, Kazuyuki Aihara, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Pattern formation in a neural field model is theoretically analyzed. We show the conditions for existence and stability of local excitation solutions with arbitrary stationary input conditions to develop a graphic analysis method. The method is useful for finding all the local excitation solutions and their stability. By applying the method to a input condition where two input stimuli are applied, we show the existence of bistable pattern dynamics. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neural field equation / Local excitation / Pattern formation / Neuronal network model / Neuroscience |
Paper # | NC2004-175 |
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Committee | NC |
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Conference Date | 2005/3/22(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) | Analyzing local excitation in a neural field model |
Sub Title (in English) | |
Keyword(1) | Neural field equation |
Keyword(2) | Local excitation |
Keyword(3) | Pattern formation |
Keyword(4) | Neuronal network model |
Keyword(5) | Neuroscience |
1st Author's Name | Shigeru Kubota |
1st Author's Affiliation | Department of Bio-System Engineering, Yamagata University() |
2nd Author's Name | Kosuke Hamaguchi |
2nd Author's Affiliation | RIKEN Brain Science Institute |
3rd Author's Name | Kazuyuki Aihara |
3rd Author's Affiliation | Institute of Industrial Science, University of Tokyo:ERATO Aihara Complexity Modelling Project |
Date | 2005/3/22 |
Paper # | NC2004-175 |
Volume (vol) | vol.104 |
Number (no) | 759 |
Page | pp.pp.- |
#Pages | 6 |
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