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
fDate :
1/1/1992 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on
