DocumentCode
911097
Title
Dynamical analysis of the brain-state-in-a-box (BSB) neural models
Author
Hui, Stefen ; Zak, Stanislaw H.
Author_Institution
Dept. of Math. Sci., San Diego State Univ., CA, USA
Volume
3
Issue
1
fYear
1992
fDate
1/1/1992 12:00:00 AM
Firstpage
86
Lastpage
94
Abstract
A stability analysis is performed for the brain-state-in-a-box (BSB) neural models with weight matrices that need not be symmetric. The implementation of associative memories using the analyzed class of neural models is also addressed. In particular, the authors modify the BSB model so that they can better control the extent of the domains of attraction of stored patterns. Generalizations of the results obtained for the BSB models to a class of cellular neural networks are also discussed
Keywords
brain models; content-addressable storage; neural nets; pattern recognition; stability; BSB model; associative memories; brain-state-in-a-box; cellular neural networks; neural models; stability analysis; stored patterns; weight matrices; Artificial neural networks; Associative memory; Biological neural networks; Brain modeling; Cellular neural networks; Hypercubes; Linear systems; Prototypes; Stability analysis; Symmetric matrices;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.105420
Filename
105420
Link To Document