Effects of similarity and experience on discrimination learning: a nonassociative connectionist model of perceptual learning.
This article describes a novel connectionist model of perceptual learning (PL) that provides a mechanism for nonassociative differentiation (J. J. Gibson & E. J. Gibson, 1955). The model begins with the assumption that 2 processes--1 that decreases associability and 1 that increases discriminability--operate during preexposure (S. Channell & G. Hall, 1981). In contrast to other models (e.g., I. P. L. McLaren, H. Kaye, & N. J. Mackintosh, 1989), in the current model the mechanisms for these processes are compatible with a configural model of associative learning. A set of simulations demonstrates that the present model can account for critical PL phenomena such as exposure learning and effects of similarity on discrimination. It is also shown that the model can explain the paradoxical result that preexposure to stimuli can either facilitate or impair subsequent discrimination learning. Predictions made by the model are discussed in relation to extant theories of PL.
Saksida
L M
LM
Center for the Neural Basis of Cognition, Carnegie Mellon University, USA. saksida@ln.nimh.nih.gov
D000818:Animals; D001245:Association Learning; D001288:Attention; D004193:Discrimination Learning; D005793:Generalization, Psychological; D006801:Humans; D016571:Neural Networks, Computer; D010465:Perception