Yu Shikano

This paper introduces CANDY, a framework that aligns neural and behavioral data across sessions and subjects, enabling cross-session behavior decoding and identifying shared neural dynamics.

The paper develops a reinforcement learning model to capture choice behavior during progressive ratio tasks, finding that the Perseverance model with choice traces best explains behavioral responses to drug effects.

This study examines how novelty and temporal distance affect post-experience reactivation of hippocampal place cells in rats, showing distinct roles for CA3 and CA1 in processing novelty and temporal aspects of memory.

The paper shows that larger reward expectations in mice are associated with slower dopamine rise and larger dopamine dip in the ventral striatum during task performance.