Presentation 2007-01-26
Comparative Study on Ising and McCulloch-Pitts Neural Networks with Random Interacrion
Hiromitsu URANO, Kosuke HAMAGUCHI, Masato OKADA,
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Abstract(in English) In the statistical mechanical framework, the firing and non-firing states of neuron are usually represented by the Ising spin (±1). On the other hand, they represented by 1 and 0 in the McCulloch-Pitts neuron. We compared the Ising spin and McCulloch-Pitts neuron systems which have random iteraction obeying the Gaussian distribution through the replica method. We found that it is imposible to define boudary between the paramagnetic and spin glass phases, and that the standard recipe of the AT stability can not applied in the McCulloch-Pitts neuron system.
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Keyword(in English) Ising spin / McCulloch-Pitts neuron / Statistical mechanics / Replica method / Replica symmetry breaking / AT line
Paper # NC2006-101
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Committee NC
Conference Date 2007/1/19(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) Comparative Study on Ising and McCulloch-Pitts Neural Networks with Random Interacrion
Sub Title (in English)
Keyword(1) Ising spin
Keyword(2) McCulloch-Pitts neuron
Keyword(3) Statistical mechanics
Keyword(4) Replica method
Keyword(5) Replica symmetry breaking
Keyword(6) AT line
1st Author's Name Hiromitsu URANO
1st Author's Affiliation Graduate School of Frontier Sciences, University of Tokyo()
2nd Author's Name Kosuke HAMAGUCHI
2nd Author's Affiliation Laboratory of Neurophysics and Physiology UMR 8119 CNRS-University Rene Descartes:Amari Research Unit, Brain Science Institute, RIKEN
3rd Author's Name Masato OKADA
3rd Author's Affiliation Graduate School of Frontier Sciences, University of Tokyo:Brain Science Institute, RIKEN
Date 2007-01-26
Paper # NC2006-101
Volume (vol) vol.106
Number (no) 501
Page pp.pp.-
#Pages 6
Date of Issue