Presentation | 2007-04-25 Analysis on network structures of neural networks with STDP learning Hideyuki KATO, Tohru IKEGUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, it has been reported that neural networks self-organize to produce functional complex networks using the Spike Timing Dependent synaptic Plasticity (STDP). The functional complex networks mean small-world networks and scale-free networks. However, experimental conditions used in the previous reports are not physiologically reasonable. In addition, although there are two kinds of learning rules in the STDP, additive and multiplicative, no reports have clarified how these two types are related, and what are different points between these two types of learning. Thus, in this report, we analysed the neural network structures using two kinds of the STDP learning rules with experimental conditions is physiologically valid. We show that a neural network with the multiplicative STDP learning rule evolves to a more small-world network than the additive one. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | STDP learning rule / neural networks / network structure |
Paper # | NLP2007-3 |
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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 | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis on network structures of neural networks with STDP learning |
Sub Title (in English) | |
Keyword(1) | STDP learning rule |
Keyword(2) | neural networks |
Keyword(3) | network structure |
1st Author's Name | Hideyuki KATO |
1st Author's Affiliation | Graduate School of Science and Engineering, Saitama University() |
2nd Author's Name | Tohru IKEGUCHI |
2nd Author's Affiliation | Graduate School of Science and Engineering, Saitama University |
Date | 2007-04-25 |
Paper # | NLP2007-3 |
Volume (vol) | vol.107 |
Number (no) | 21 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |