Presentation 2006-03-17
Fokker-Planck Analysis of Associative Synfire Chain
Kazuya ISHIBASHI, Kosuke HAMAGUCHI, Masato OKADA,
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Abstract(in English) A synfire chain is one of the networks which generate stable synchronous pulse packets. Although the networks with a single stable synfire state is intensively analyzed, the networks with several stable synfire states have not yet been investigated so thoroughly. By using leaky integrate-and-fire neuron model we construct a layered associative feedforward network embedded with several memory patterns. We analyze the network dynamics with the Fokker-Planck equation. First, we show that in the network the memory patterns propagate as pulse packets. Second, we find several characteristic phenomena, not observed in the conventional synfire chain.
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Keyword(in English) synfire chain / Fokker-Planck Equation / Associative Memory / Feed forward Network
Paper # NC2005-171
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Committee NC
Conference Date 2006/3/10(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fokker-Planck Analysis of Associative Synfire Chain
Sub Title (in English)
Keyword(1) synfire chain
Keyword(2) Fokker-Planck Equation
Keyword(3) Associative Memory
Keyword(4) Feed forward Network
1st Author's Name Kazuya ISHIBASHI
1st Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo:Japan Science and Technology Agency()
2nd Author's Name Kosuke HAMAGUCHI
2nd Author's Affiliation RIKEN Brain Science Institute
3rd Author's Name Masato OKADA
3rd Author's Affiliation Graduate School of Frontier Sciences, The University of Tokyo:Japan Science and Technology Agency:RIKEN Brain Science Institute
Date 2006-03-17
Paper # NC2005-171
Volume (vol) vol.105
Number (no) 659
Page pp.pp.-
#Pages 6
Date of Issue