Presentation 2010-12-13
Study on networks of inhibitory neurons using GPU
Masaya HAYASHI, Hiroyuki KITAJIMA,
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Abstract(in English) It is known that neurons in a small-world structure obtain synchronous firing faster than ones in locally connected networks. In these studies, coupling methods are gap-junctions or excitatory synapses which promote synchronous firings. In this study we construct regular and small-world networks with inhibitory neurons and investigate synchronous firings in both cases. As a result we obtain several clustered synchronous firings in both networks. These results are obtained by using GPU(Graphics Processing Unit) which faster 2 times than usual CPU alone.
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Keyword(in English) synapses / GPU
Paper # NLP2010-116
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Committee NLP
Conference Date 2010/12/6(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Study on networks of inhibitory neurons using GPU
Sub Title (in English)
Keyword(1) synapses
Keyword(2) GPU
1st Author's Name Masaya HAYASHI
1st Author's Affiliation Faculty of Engineering, Kagawa University()
2nd Author's Name Hiroyuki KITAJIMA
2nd Author's Affiliation Faculty of Engineering, Kagawa University
Date 2010-12-13
Paper # NLP2010-116
Volume (vol) vol.110
Number (no) 335
Page pp.pp.-
#Pages 4
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