Presentation 1998/3/19
Analyses of fixed point attractors in a phase-oscillator neural network
Hiroaki Wagatsuma, Yoko Yamaguchi,
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Abstract(in English) The neural network analyzed in this paper consists of phase oscillators. They are mutually coupled by pulse density as a threshold output. The network is known to have either point attractors or limit cycle attractors. The present paper is focused on analyses of fixed points in the phase-oscillator neural network. We show that the stability condition for fixed point attractors is found to be identical with the description of a McCulloch-Pitts type of neural network. This identical relation helps us to design the phase-oscillator neural network as an associative memory network with fixed point attractors. It is concluded that the phase-oscillator neural network is a comprehensive description of neural networks with various types of attractors.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) oscillator neural network / phase oscillator / associative memory / fixed point attractor
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Committee NC
Conference Date 1998/3/19(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Analyses of fixed point attractors in a phase-oscillator neural network
Sub Title (in English)
Keyword(1) oscillator neural network
Keyword(2) phase oscillator
Keyword(3) associative memory
Keyword(4) fixed point attractor
1st Author's Name Hiroaki Wagatsuma
1st Author's Affiliation Dept.Information Sciences, College of Science and Engineering, Tokyo Denki University()
2nd Author's Name Yoko Yamaguchi
2nd Author's Affiliation Dept.Information Sciences, College of Science and Engineering, Tokyo Denki University
Date 1998/3/19
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Volume (vol) vol.97
Number (no) 623
Page pp.pp.-
#Pages 8
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