Adrian Mark Haith

This study investigates switch costs in motor skill switching, finding that errors arise from perseveration rather than poor execution of new skills.

This study proposes that policy-gradient reinforcement learning explains human practice-based motor skill learning across diverse tasks.

This study investigates how continuous motor skills are learned through a video game task, finding that performance generalizes at the kinematic level but not at the task success level, suggesting a flexible control policy rather than chunked action sequences.

The paper shows that invigoration of action selection and action execution are linked, with changes in one affecting the other.

The paper shows that habitual behavior emerges early in motor skill learning, even before skill proficiency is achieved.

This study investigates de novo motor learning of a bimanual control task over multiple days, showing performance improvement and adaptation to perturbations without aftereffects.

This study shows that older adults' slower reaction times are due to reduced preparation speed, not delayed initiation, with a consistent 90ms delay between preparation and initiation.

This paper proposes a proprioceptive re-alignment model to explain implicit sensorimotor adaptation, challenging the traditional visuo-centric view by focusing on minimizing proprioceptive error.

This paper compares the speed of action initiation and inhibition, finding they are similar when conditions are matched, suggesting they may be part of a single decision-making process.

The paper investigates how sensory prediction errors and task errors interact in implicit motor learning and finds that task errors alone cannot drive recalibration but modulate it when sensory prediction errors are present.

The paper investigates how implicit and explicit learning systems compete during sensorimotor adaptation, showing that shared error signals can lead to competition and reduced learning in one system when the other is enhanced.

The paper investigates how people learn continuous control tasks by analyzing behavior under visual feedback manipulation, revealing two distinct learning components.

This study challenges the forward-model-based theory of motor adaptation by showing that implicit adaptation under mirror-reversed feedback follows a pattern consistent with direct policy learning rather than forward-model-based learning.

The paper shows that latent habits can be unmasked by limiting response time, with habit expression peaking 300-600ms after stimulus presentation.

The paper investigates how practice affects memory representation in visuomotor learning by distinguishing between implicit recalibration and deliberate re-aiming.