Masakazu Taira

This study shows mice shift from model-free to structure-informed reinforcement learning strategies during early training in a dynamic decision-making task.

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.

The paper shows optogenetic activation of dorsal raphe serotonin neurons in mice causes brain-wide activation, which is reduced under anesthesia.