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A reinforcement learning model of operant behavior controlled by a moving object

Publication at Faculty of Mathematics and Physics |
2008

Abstract

We have simulated behaviour of a rodent solving a spatial task using a simple artificial neural network. The model behaves similarly to the rodent; in particular it anticipates the reward accordingly.