ADAPTIVE COMPUTATIONAL MODELS OF FAST LEARNING OF MOTION DIRECTION DISCRIMINATION

Citation
V. Sundareswaran et Lm. Vaina, ADAPTIVE COMPUTATIONAL MODELS OF FAST LEARNING OF MOTION DIRECTION DISCRIMINATION, Biological cybernetics, 74(4), 1996, pp. 319-329
Citations number
37
Categorie Soggetti
Computer Science Cybernetics","Biology Miscellaneous
Journal title
ISSN journal
03401200
Volume
74
Issue
4
Year of publication
1996
Pages
319 - 329
Database
ISI
SICI code
0340-1200(1996)74:4<319:ACMOFL>2.0.ZU;2-Q
Abstract
In a previous study. we found that subjects' performance in a task of direction discrimination in stochastic motion stimuli shows fast impro vement in the absence of feedback and the learned ability is retained over a period of time, We model this learning using two unsupervised a pproaches: a clustering model that learns to accommodate the motion no ise, and an averaging model that learns to ignore the noise, Extensive simulations with the models show performance similar to psychophysica l results.