Kenji Morita

Mesocorticolimbic reinforcement learning of reward representation and value provides an integrated mechanistic account for schizophrenia

The paper constructs a neural circuit model of mesocorticolimbic dopamine signaling to explain schizophrenia's symptoms through disrupted reward learning and value representation.

Striatal Gradient in Value-Decay Explains Regional Differences in Dopamine Patterns and Reinforcement Learning Computations

Online reinforcement learning of state representation in recurrent network: the power of random feedback and biological constraints

This study shows that RNNs can learn task structure with random feedback and biological constraints without needing offline updates or eligibility traces.

Opponent Learning with Different Representations in the Cortico-Basal Ganglia Pathways Can Develop Obsession-Compulsion Cycle

This paper develops a computational model of cortico-basal ganglia pathways with dual systems learning from positive and negative prediction errors, showing how opponent learning can lead to an obsession-compulsion cycle in OCD.

Opponent learning with different representations in the cortico-basal ganglia circuits

The paper explores how combining different state representations with appetitive and aversive learning improves performance in reward learning tasks, offering insights into cortico-basal ganglia circuits.

Mental Effort Cost Learning is Retrospective

This study shows mental effort cost learning is retrospective, updating decisions based on prediction errors at effort completion, not during the task.

Reduced Successor Representation Potentially Interferes with Cessation of Habitual Reward-Seeking

The paper proposes a dopamine-related mechanism involving successor representation and spiral RPE circuits that may explain difficulty in stopping habitual reward-seeking behaviors.

Differential Striatal Axonal Arborizations of the Intratelencephalic and Pyramidal-Tract Neurons: Analysis of the Data in the MouseLight Database

The paper analyzes axonal end-points of IT and PT neurons in the MouseLight database to compare their striatal projections, finding differences in endpoint frequency and spatial distribution.