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

id	sg-nus-scholar.10635-55600
record_format	dspace
spelling	sg-nus-scholar.10635-556002023-10-29T22:46:31Z Determination of the number of principal directions in a biologically plausible PCA model Lv, J.C. Yi, Z. Tan, K.K. ELECTRICAL & COMPUTER ENGINEERING Biologically plausible model Generalized Hebbian algorithm (GHA) learning algorithm Intrinsic dimensionality Principal component analysis (PCA) 10.1109/TNN.2007.891193 IEEE Transactions on Neural Networks 18 3 910-916 ITNNE 2014-06-17T02:44:56Z 2014-06-17T02:44:56Z 2007-05 Article Lv, J.C., Yi, Z., Tan, K.K. (2007-05). Determination of the number of principal directions in a biologically plausible PCA model. IEEE Transactions on Neural Networks 18 (3) : 910-916. ScholarBank@NUS Repository. https://doi.org/10.1109/TNN.2007.891193 10459227 http://scholarbank.nus.edu.sg/handle/10635/55600 000246423400026 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Biologically plausible model Generalized Hebbian algorithm (GHA) learning algorithm Intrinsic dimensionality Principal component analysis (PCA)
spellingShingle	Biologically plausible model Generalized Hebbian algorithm (GHA) learning algorithm Intrinsic dimensionality Principal component analysis (PCA) Lv, J.C. Yi, Z. Tan, K.K. Determination of the number of principal directions in a biologically plausible PCA model
description	10.1109/TNN.2007.891193
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING Lv, J.C. Yi, Z. Tan, K.K.
format	Article
author	Lv, J.C. Yi, Z. Tan, K.K.
author_sort	Lv, J.C.
title	Determination of the number of principal directions in a biologically plausible PCA model
title_short	Determination of the number of principal directions in a biologically plausible PCA model
title_full	Determination of the number of principal directions in a biologically plausible PCA model
title_fullStr	Determination of the number of principal directions in a biologically plausible PCA model
title_full_unstemmed	Determination of the number of principal directions in a biologically plausible PCA model
title_sort	determination of the number of principal directions in a biologically plausible pca model
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/55600
_version_	1781412157313777664

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

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