DocumentCode
2619704
Title
A rigorous analysis of Linsker´s Hebbian learning network
Author
Feng, Jianfeng ; Pan, Hong ; Roychowdhury, Vwani P.
Author_Institution
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fYear
1994
fDate
27 Jun-1 Jul 1994
Firstpage
219
Abstract
We propose a novel approach for a rigorous analysis of the nonlinear asymmetric dynamics of Linsker´s (1986) unsupervised Hebbian learning network. The results provide for the first time comprehensive explanations of the origin of the various structured connection patterns and of the roles of the different system parameters of the model. Our theoretical predictions are corroborated by numerical simulations
Keywords
Hebbian learning; feedforward neural nets; multilayer perceptrons; multilayered unsupervised network; nonlinear asymmetric dynamics; numerical simulations; self-organization mechanism; structured connection patterns; system parameters; unsupervised Hebbian learning network; Covariance matrix; Density functional theory; Ear; Equations; Hebbian theory; Intelligent networks; Nonlinear dynamical systems; Numerical simulation; Shape; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location
Trondheim
Print_ISBN
0-7803-2015-8
Type
conf
DOI
10.1109/ISIT.1994.394749
Filename
394749
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