A neural network model of operant behavior controlled by a moving object

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. Description Recently non-spatial operant behavior controlled by spatial stimuli has been employed in the research of spatial cognition in rodents (Klement and Bures, 2000; Pastalkova et al., 2003; Nekovarova and Klement, 2006). In one of our experiments, rats were conditioned to press a lever for food reward when a light rectangle was passing through a particular region on a computer screen (Klement et al. 2008). The rewarded region could be determined only by its spatial relation with respect to the edges of the monitor. Thus the rats were able to estimat