Presentation 2009-05-25
Localized Oscillatory Excitation on Nerve Fields for Self-Organizing Neural Models
Ryota MIYATA, Akira DATE, Koji KURATA,
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Abstract(in English) As a solution to the binding problem, there is a hypothesis that the binding of information is represented by phase-locking among oscillatory recognition cells. We conducted a basic study to implement this hypothesis into a neural model of separated extraction of information by two self-organizing neural fields. We showed that a neural oscillator field with two Mexican-hat connection patterns keeps two or more than two localized oscillatory excitations stably around local maximums of external inputs, and also realizes in-phase phase-locking within a localized oscillatory excitation, but anti-phase phase-locking between different localized oscillatory excitations.
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Keyword(in English) localized oscillatory excitation / localized excitation / localized oscillation / phase-locking / binding problem / separated extraction of information / self-organizing map
Paper # NC2009-3
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Committee NC
Conference Date 2009/5/18(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) Localized Oscillatory Excitation on Nerve Fields for Self-Organizing Neural Models
Sub Title (in English)
Keyword(1) localized oscillatory excitation
Keyword(2) localized excitation
Keyword(3) localized oscillation
Keyword(4) phase-locking
Keyword(5) binding problem
Keyword(6) separated extraction of information
Keyword(7) self-organizing map
1st Author's Name Ryota MIYATA
1st Author's Affiliation Graduate school of Engineering and Science, University of the Ryukyus()
2nd Author's Name Akira DATE
2nd Author's Affiliation Faculty of Engineering, University of Miyazaki
3rd Author's Name Koji KURATA
3rd Author's Affiliation Faculty of Engineering, University of Ryukyus
Date 2009-05-25
Paper # NC2009-3
Volume (vol) vol.109
Number (no) 53
Page pp.pp.-
#Pages 6
Date of Issue