Interactions of spatial strategies producing generalization gradient and blocking: A computational approach.

ABSTRACT: We present a computational model of spatial navigation comprising different learning mechanisms in mammals, i.e., associative, cognitive mapping and parallel systems. This model is able to reproduce a large number of experimental results in different variants of the Morris water maze task, including standard associative phenomena (spatial generalization gradient and blocking), as well as navigation based on cognitive mapping. Furthermore, we show that competitive and cooperative patterns between different navigation strategies in the model allow to explain previous apparently contradictory results supporting either associative or cognitive mechanisms for spatial learning. The key computational mechanism to reconcile experimental results showing different influences of distal and proximal c

SUBMITTER: Dolle L 

PROVIDER: S-EPMC5908205 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature