DocumentCode :
940492
Title :
Information capacity of the Hopfield model
Author :
Abu-Mostafa, Yaser S. ; Jacques, Jeannine-marie St
Volume :
31
Issue :
4
fYear :
1985
fDate :
7/1/1985 12:00:00 AM
Firstpage :
461
Lastpage :
464
Abstract :
The information capacity of general forms of memory is formalized. The number of bits of information that can be stored in the Hopfield model of associative memory is estimated. It is found that the asymptotic information capacity of a Hopfield network of 
neurons is of the order 
b. The number of arbitrary state vectors that can be made stable in a Hopfield network of neurons is proved to be bounded above by .
neurons is of the order b. The number of arbitrary state vectors that can be made stable in a Hopfield network of neurons is proved to be bounded above by .Keywords :
Associative memory; Biological information theory; Biological system modeling; Biology computing; Flexible structures; Hopfield neural networks; Neural networks; Neurons; Robustness; Upper bound;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1985.1057069
Filename :
1057069
Link To Document :
