Presentation 2004/12/3
Functional Roles of Synaptic Depression in Excitatory-inhibitory Balanced Network
Narihisa MATSUMOTO, Daisuke IDE, Masataka WATANABE, Masato OKADA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is known that synaptic depression controls a gain for presynaptic inputs. However, it remains unknown what are functional roles of this gain control. We propose a new hypothesis that one of the functional roles is to enlarge basins of attraction. To verify this hypothesis, we employ a binary discrete-time associative memory model which consists of excitatory and inhibitory neurons. Using an extended mean-field theory and computer simulations, we find that the basins of attraction are enlarged whereas the storage capacity does not change.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) storage capacity / basin of attraction / associative memory model
Paper # NC2004-110
Date of Issue

Conference Information
Committee NC
Conference Date 2004/12/3(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Functional Roles of Synaptic Depression in Excitatory-inhibitory Balanced Network
Sub Title (in English)
Keyword(1) storage capacity
Keyword(2) basin of attraction
Keyword(3) associative memory model
1st Author's Name Narihisa MATSUMOTO
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)()
2nd Author's Name Daisuke IDE
2nd Author's Affiliation Faculty of Engineering, University of Tokyo
3rd Author's Name Masataka WATANABE
3rd Author's Affiliation Faculty of Engineering, University of Tokyo
4th Author's Name Masato OKADA
4th Author's Affiliation Graduate School of Frontier Sciences, University of Tokyo:Japan Science and Technology Agency
Date 2004/12/3
Paper # NC2004-110
Volume (vol) vol.104
Number (no) 502
Page pp.pp.-
#Pages 6
Date of Issue