Yuuki Uchida

The paper shows that dopamine neurons in the mesolimbic pathway encode the value of water and salt in a state-dependent manner, influencing behavior and simulated by a reinforcement learning model.

This study uses a homeostatic reinforcement learning model to simulate how altered interoception affects reward processing and appetite in depression subtypes.

This paper develops a homeostatic reinforcement learning model to simulate sodium appetite behavior and explains osmoregulation as a reinforcement learning process.