Atsushi Yokoi

The paper investigates how the brain encodes bimanual movement directions using fMRI, finding distinct neural representations for unimanual and bimanual movements.

This study measures autonomic responses to proprioceptive and visual errors during motor learning and finds a dose-dependent relationship between error magnitude and autonomic activity.

The paper shows that decision uncertainty influences motor memory formation and retrieval by contextualizing actions, allowing different motor memories to be formed based on varying levels of uncertainty.

This study tracks pupil diameter during motor adaptation in humans to assess internal states like surprise and environmental uncertainty, finding distinct patterns for tonic and phasic pupil responses.

The paper investigates how initial motor chunking instructions influence the formation of beneficial or detrimental motor habits over a 3-week training period.

The paper tests the stability of representational geometry in fMRI data across varying activation levels in sensory-motor and visual regions, finding it remains consistent despite large changes in average activity.

This study uses fMRI and behavioral paradigms to identify distinct motor sequence representations in human neocortex, revealing differences between primary and non-primary motor areas.

This study investigates whether human primary motor cortex represents sequences of finger movements and finds no evidence for true sequence representation, instead showing patterns explainable by individual movement components.

This paper introduces pattern component modeling (PCM), a Bayesian approach for evaluating representational models of brain activity, and provides an open-source Matlab toolbox for implementation.