Combining a sequential decision task with calcium imaging and optogenetics, our data demonstrate a rich set of task representations in ACC, including action-state predictions and surprise signals, and a causal role in using observed action-state transitions to guide subsequent choices. These results reveal that ACC is a critical component of the model-based controller and uncover a neural basis for predicting future states given chosen actions.
