Determination of the number of principal directions in a biologically plausible PCA model

Determination of the number of principal directions in a biologically plausible PCA model

10.1109/TNN.2007.891193

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Bibliographic Details
Main Authors:	Lv, J.C., Yi, Z., Tan, K.K.
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Article
Published:	2014
Subjects:	Biologically plausible model Generalized Hebbian algorithm (GHA) learning algorithm Intrinsic dimensionality Principal component analysis (PCA)
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/55600
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Institution:	National University of Singapore

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