Jianning Chen

The paper analyzes how mice adapt strategies in a two-step decision task through continuous and discrete changes in response to environmental and internal states.

This paper introduces a fictive learning rule in model-based reinforcement learning that generalizes reward prediction errors to unvisited states and actions, explaining behavioral phenomena in the two-step task.

This study investigates how optogenetic manipulation of DRN serotonergic neurons affects motor actions and waiting behavior in mice during reward tasks, finding distinct effects on sustained actions versus stationary waiting.