Presentation 2011-06-24
Separated Extraction of Information by the Oscillatory Self-Organizing Maps
Ryota MIYATA, Koji KURATA,
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Abstract(in English) The binding problem is one of the major issues, which remain to be unsolved in today's brain science. As a solution of the binding problem, there is a hypothesis that property binding should be represented by phase-locking among neuronal periodical firing. Regarding neuronal periodical firing as oscillation and synchronous firing as in-phase phase-locking, we introduce this synchronous firing hypothesis into the self-organizing maps (SOMs). In this paper, we propose oscillatory self-organizing maps. Utilizing the computer simulation, we report that our model composed of the oscillatory SOMs can solve the binding problem with separated extraction of information from two objects, by the phase difference.
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Keyword(in English) oscillatory self-organizing map / separated extraction of information / binding problem / synchronous firing hypothesis / phase-locking / selective Hebbian learning
Paper # NC2011-12
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Committee NC
Conference Date 2011/6/16(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) Separated Extraction of Information by the Oscillatory Self-Organizing Maps
Sub Title (in English)
Keyword(1) oscillatory self-organizing map
Keyword(2) separated extraction of information
Keyword(3) binding problem
Keyword(4) synchronous firing hypothesis
Keyword(5) phase-locking
Keyword(6) selective Hebbian learning
1st Author's Name Ryota MIYATA
1st Author's Affiliation Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology()
2nd Author's Name Koji KURATA
2nd Author's Affiliation Faculty of Engineering, University of the Ryukyus
Date 2011-06-24
Paper # NC2011-12
Volume (vol) vol.111
Number (no) 96
Page pp.pp.-
#Pages 6
Date of Issue