Presentation | 2006-03-20 Differences on rhythmic activities of Class I and Class II neural networks Ryosuke HOSAKA, Tohru IKEGUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Regularly spiking neurons are classified into two categories, Class I and Class II, by their firing properties for constant inputs. We constructed two types of neural networks whose excitatory neurons are the Class I neurons or the Class II neurons. The networks were driven by random inputs and developed with STDP learning. As a result, the Class I and the Class II neural networks generate different types of rhythmic activities: the Class I neural network generates slow rhythmic activities, and the Class II neural network generates fast rhythmic activities. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Class I / Class II / rhythm / synchrony / STDP learning rule |
Paper # | NLP2005-139 |
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Committee | NLP |
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Conference Date | 2006/3/13(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Differences on rhythmic activities of Class I and Class II neural networks |
Sub Title (in English) | |
Keyword(1) | Class I |
Keyword(2) | Class II |
Keyword(3) | rhythm |
Keyword(4) | synchrony |
Keyword(5) | STDP learning rule |
1st Author's Name | Ryosuke HOSAKA |
1st Author's Affiliation | Graduate School of Science and Engineering, Saitama University() |
2nd Author's Name | Tohru IKEGUCHI |
2nd Author's Affiliation | Department of Information and Computer Science, Faculty of Engineering, Saitama University |
Date | 2006-03-20 |
Paper # | NLP2005-139 |
Volume (vol) | vol.105 |
Number (no) | 675 |
Page | pp.pp.- |
#Pages | 6 |
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