DocumentCode :
288440
Title :
The long and the short of it- remembering old and recent information
Author :
Srivastava, Vipin ; Vipin, Meena
Author_Institution :
Sch. of Phys., Hyderabad Univ., India
Volume :
2
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
876
Abstract :
A neural networks model for `forgetting upon learning´ is developed where old information can also be evoked. It enables both long-term (old) and short-term (recent) memories to exist concurrently
Keywords :
learning (artificial intelligence); neural nets; forgetting upon learning; long-term memories; neural networks model; old information; short-term memories; Hebbian theory; Neural networks; Neurons; Physics; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374296
Filename :
374296
Link To Document :
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