title: Associative change in connectionist networks: an addendum.
abstract: The results of a recent study have provided direct support for the suggestion that conditional learning in rats is best characterized by a 3-layer connectionist network (M. J. Allman, J. Ward-Robinson, & R. C. Honey, 2004). In the 2 experiments reported here, rats were used to investigate the nature of the changes that occur when a stimulus compound is presented, whose components activate hidden units associated with food and no food, and either food or no food is presented. The results of both experiments, while controlling for the possible contribution of associations between these hidden units (within-layer links), provide evidence that the distribution of associative change between units in the hidden layer that are activated by the stimulus compound and those in the output layer (between-layer links) are unequal. They also indicate that associative change is more marked on trials on which no food was presented than on trials on which food was presented.
authors.affiliation: School of Psychology, Cardiff University, UK.
authors.forename: Melissa J
authors.initials: MJ
authors.lastname: Allman
authors.forename: R C
authors.initials: RC
authors.lastname: Honey
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D001245:Association Learning / Q000502:physiology*; D001522:Behavior, Animal; D003214:Conditioning, Classical / Q000502:physiology*; D004193:Discrimination Learning / Q000502:physiology*; D008297:Male; D016571:Neural Networks, Computer; D051381:Rats