Plausible computational model of a rodent behaviour

Two different computational models are presented. These models simulate behaviour of a rat during a laboratory experiment focused on spatial cognition. First model arises from principles of reinforcement learning while second represents a method usual for models in computational neuroscience. The two models are compared with the results of laboratory experiments as well as with each other. Assets of both models and the possibility of combining the two methods are then discussed