Presentation 1994/5/19
An analysis of associative memory dynamics
Toshiki Kindo,
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Abstract(in English) The dynamics of associative memory with autocorrelation matrix is studied.The dynarmics has the linear and the non-linear transformation part.The linear transformation part is dominant in the dynamical process.This part generates a flow on a(N-1) dimensional sphere which includes all memorized patterns when the associative memory has N units.The flow describes an outline of the recalling process and dractically changes at λ^s_min> = 2P,wh ere λ^s_min> is the minimum eigen-value of the autocorrelation ma trix and P is a number of memorized patterns.Then the eigen-vector which has the minimum eigen-value becomes unstable so as to break down some memorized patterns.The unstable memorized patterns are carried to new stable states which are constructed by eigen- vectors with large eigen-values.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) associative memory / linear algebra / eigen-value / dynamics
Paper # NC94-1
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Conference Information
Committee NC
Conference Date 1994/5/19(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) An analysis of associative memory dynamics
Sub Title (in English)
Keyword(1) associative memory
Keyword(2) linear algebra
Keyword(3) eigen-value
Keyword(4) dynamics
1st Author's Name Toshiki Kindo
1st Author's Affiliation Matsushita Research Institute,Tokyo()
Date 1994/5/19
Paper # NC94-1
Volume (vol) vol.94
Number (no) 40
Page pp.pp.-
#Pages 8
Date of Issue