Toshinori Yoshioka

The paper explains interindividual differences in motor learning by proposing a computational model with generalist and specialist memory modules that adapt based on training schedules.

This paper identifies a thalamo-somatomotor functional connectivity biomarker that stratifies MDD patients into subtypes with distinct antidepressant treatment responses, demonstrating generalizability across independent datasets.

The paper evaluates rs-fMRI analysis pipelines for MDD biomarkers using multi-site datasets, finding optimal combinations of parcellation, connectivity estimation, harmonization, and machine learning methods.

This study shows that leader-follower roles in coordination emerge through implicit haptic interactions, not explicit communication.

This study investigates how humans adapt to force fields during reaching tasks, showing a failure-driven adaptation process that enables quick task success before full internal model adaptation.