Presentation | 2007-04-25 Estimation of neural network structures from multidimensional spike sequences Tohru ASHIZAWA, Daisuke HARAKI, Tohru IKEGUCHI, |
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Abstract(in English) | In neural systems, neurons interact each other. Then, they often produce very complicated behavior. To model or predict such complicated behavior, it is important to understand a neural network structure. In the present paper, we proposed new measures, which are based on spike time metrics and a partialization analysis, to estimate such a neural structure by using only observed multidimensional spike sequences. Here, the neural structure means topological connections between neurons. To check the validity of our proposed measures, we applied the proposed measures to multidimensional spike sequences which were produced by a neural network model. As a result, we found that the proposed measures exhibit high performance for estimating the neural network structures. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neural network / coupled oscillator / spike sequence / partial correlation |
Paper # | NLP2007-2 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2007/4/18(1days) |
Place (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) | Estimation of neural network structures from multidimensional spike sequences |
Sub Title (in English) | |
Keyword(1) | neural network |
Keyword(2) | coupled oscillator |
Keyword(3) | spike sequence |
Keyword(4) | partial correlation |
1st Author's Name | Tohru ASHIZAWA |
1st Author's Affiliation | Graduate School of Science and Engineering, Saitama University() |
2nd Author's Name | Daisuke HARAKI |
2nd Author's Affiliation | Graduate School of Science and Engineering, Saitama University |
3rd Author's Name | Tohru IKEGUCHI |
3rd Author's Affiliation | Graduate School of Science and Engineering, Saitama University |
Date | 2007-04-25 |
Paper # | NLP2007-2 |
Volume (vol) | vol.107 |
Number (no) | 21 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |