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