Presentation	2002/1/22 Multi-winner Feedforward Self-organizing Neural Network a Distributed Representation of Information Yoshifusa Wada,
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Abstract(in English)	An adaptive-weight multi-winner feed-forward neural network with a distributed representation of information was previously presented. The proposed model which allows multiple winners in the same cell layer has transferred the characteristic features of the input to the distributed winner cells of the following layer. It was confirmed that the neurons which have the same orientation response form clusters in the competitive layer by learning of the basic bar patterns and their rotated ones which the signal range of the plus and minus value should be inputted to. Furthermore, the simulation shows that orientation selectivity is possibly constructed in this multi-winner model.
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Keyword(in English)	neural network / self-organization / Hebb rule / multi-winner / orientation selectivity
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Conference Information
Committee	NC
Conference Date	2002/1/22(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
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Title (in English)	Multi-winner Feedforward Self-organizing Neural Network a Distributed Representation of Information
Sub Title (in English)
Keyword(1)	neural network
Keyword(2)	self-organization
Keyword(3)	Hebb rule
Keyword(4)	multi-winner
Keyword(5)	orientation selectivity
1st Author's Name	Yoshifusa Wada
1st Author's Affiliation	Silicon Systems research Laboratories, NEC Corporation()
Date	2002/1/22
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Volume (vol)	vol.101
Number (no)	616
Page	pp.pp.-
#Pages	7
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