Presentation 1998/3/19
Selforganizing of C cell in Neocognitoron
Kazuya Yoshimoto, Kunihiko Fukushima, Hayaru Shouno,
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Abstract(in English) In the standard neocognitron, synaptic weights between feature extracting cells (S cells) and position invariant cells (C cell) are fixed and unmodifiable. This paper proposes a new learning rule by which the synaptic conection to Csell, as well as conection to Scells, are self-organized. Training paterns are moving line stimuli presented to the retina. In the conventional neocognitron, it was required to prepare in advance the architecture of `cell-plane'for each feature to be extracted. Through the new learning rule, however, the architecture of cell planes can be automatically self-organized in a network. The ability of the new learning rule is demonstrated by computer simulation.
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Keyword(in English) visual system / Neocognitoron / selforganization / feature extraction / Csell
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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) Selforganizing of C cell in Neocognitoron
Sub Title (in English)
Keyword(1) visual system
Keyword(2) Neocognitoron
Keyword(3) selforganization
Keyword(4) feature extraction
Keyword(5) Csell
1st Author's Name Kazuya Yoshimoto
1st Author's Affiliation Department of Biophysical Engineering Faculty of Engineering Science, Osaka University()
2nd Author's Name Kunihiko Fukushima
2nd Author's Affiliation Department of Biophysical Engineering Faculty of Engineering Science, Osaka University
3rd Author's Name Hayaru Shouno
3rd Author's Affiliation Department of Biophysical Engineering Faculty of Engineering Science, Osaka 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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