Model-based spatial navigation in the hippocampus-ventral striatum circuit: A computational analysis
Fig 6
Changes in the state-state and state-value models after contextual conditioning.
This figure shows what changes the Contextual Conditioning procedure produces in the probability values of states in the state-state or transition model (black), and in the state-value model, where states correspond to the most rewarded (red) or less rewarded (blue) rooms. For clarity, we only show the changes of states having a probability that is greater than 0.05 (for the state-state model) and 0.5 (for the state-value function). This choice of thresholds in motivated by the fact that in the state-value function we are interested in verifying changes in the states carrying significant value information (e.g., those regarding the goal states or their neighbor’s), not in the many states that have a low probability value in all situations (see Fig 5).