Title :
A numerical exploration of a stochastic model of human list learning
Author :
Wilson, K.F. ; Osborne, C.F.
Author_Institution :
Dept. of Phys., Monash Univ., Clayton, Vic., Australia
Abstract :
A simple network which shows primacy and recency effects is presented. The model uses stochastic updating of clipped weights to produce a range of different memory behaviours. The model, originally proposed by Kahn, Wong and Shewington (1991, 1995), shows a much wider range of behaviours than originally predicted. These behaviours depend on the probability of updating weights, initial non-zero weights, type and degree of dilution
Keywords :
biocybernetics; brain models; neural nets; neurophysiology; probability; stochastic processes; dilution; human list learning; memory; probability; stochastic model; updating weights; Educational institutions; Humans; Physics; Predictive models; Stochastic processes;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831451
