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 Japanese) | (See Japanese page) |
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 |
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Conference Date | 1998/3/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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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