Richard B. Ivry

The paper investigates how attention modulates visual-semantic representations in the cerebellum using fMRI and encoding models, finding significant tuning shifts in specific cerebellar regions.

This study examines Bayesian inference in cerebellar degeneration by testing patients on timing tasks and developing a model of cerebellar microcircuits.

This study develops a behavioral paradigm and computational model to show that strategy discovery in motor learning involves systematic exploration followed by an 'aha' moment, outperforming alternative learning models.

This study investigates thalamic oscillatory mechanisms during motor sequence learning, finding distinct roles for beta-band power and beta-high-frequency coupling in supporting learning.

This study uses AM-kTMP to modulate speech perception by entraining neural activity, showing increased phasic modulation compared to sham stimulation.

This study uses amplitude-modulated kilohertz transcranial magnetic perturbation to test the role of beta and delta oscillations in human motor learning, finding that beta stimulation impairs performance.

The paper shows motor biases result from a misalignment between visual and proprioceptive reference frames, not from planning errors or biomechanical constraints.

This paper identifies two distinct implicit processes in sensorimotor adaptation: implicit recalibration for action execution and implicit aiming for action selection, showing different temporal stability and contextual modulation.

This paper introduces and evaluates kilohertz transcranial magnetic perturbation (kTMP), a non-invasive method that increases cortical excitability through subthreshold electric fields.

This study investigates how attention influences sensorimotor adaptation, finding that attention modulates learning by defining contextual cues rather than directly affecting adaptation rates.

This study shows that cerebellar lesions impair cross-modal temporal predictions in visuo-auditory stimulus processing.

The paper investigates how interference during a washout period affects sensorimotor adaptation upon relearning, finding that interference from a different action-outcome contingency reduces implicit adaptation.

This study investigates how aging affects explicit and implicit sensorimotor learning through meta-analysis and controlled experiments, finding dissociated impairments and enhancements in these processes.

This study shows that VIM-DBS enhances motor learning for fixed sequential finger movements but not for random sequences, indicating its role in thalamo-cortical motor learning.

This study compares how symbolic and sensory feedback affect motor adaptation, finding that symbolic feedback leads to slower and more explicit learning.

This paper shows that perturbation variability does not affect implicit sensorimotor adaptation, as non-linear error correction explains observed effects without requiring changes in error sensitivity.

The paper investigates task-dependent gating of neocortical inputs to the cerebellum using fMRI, finding that cerebellar activity increases more than expected during speed-related tasks and working memory encoding.

This study investigates how feedback timing affects sensorimotor adaptation, finding that optimal feedback timing occurs before hand reaching the target, similar to continuous feedback.

This study investigates how the relevance of visual feedback affects implicit sensorimotor adaptation, finding that task-relevant feedback enhances aftereffects while distracting feedback reduces them.

The paper investigates how sensorimotor cortex and subthalamic nucleus encode unimanual and bimanual hand movements, finding that STN encodes movements for both hands and is context-sensitive, while SMC is contralaterally biased and context-insensitive.

This study shows that binary feedback can drive implicit motor learning, as evidenced by a consistent aftereffect in a center-out reaching task.

This paper introduces a population-coding model of the cerebellum to explain how sensorimotor learning is modulated by contextual variation, showing that contextual effects emerge from population dynamics rather than meta-learning.

The paper shows that time perception in humans is governed by a single mechanism that adapts to both local and global environmental statistics.

The paper builds and compares cortico-cerebellar connectivity models using task-based fMRI to determine if cerebellar regions receive convergent or sparse cortical inputs, finding convergence varies across functional cerebellar areas.

This study investigates contextual interference in implicit sensorimotor adaptation by comparing blocked and random practice schedules on a reaching task with feedback perturbations.

This study investigates the role of proprioception in implicit sensorimotor adaptation and perceived movement outcome by examining individuals lacking proprioception, finding minimal impact on adaptation and perceived outcome.

This study uses a large dataset from a citizen science project to analyze predictors of sensorimotor adaptation and identifies novel constraints in implicit and explicit learning processes.

This study shows that personalized transcranial alternating current stimulation (tACS) improves sleep duration and reduces sleep onset latency compared to fixed-frequency tACS and a control condition.

This study finds that low vision impairs implicit sensorimotor adaptation for small visual errors but not large ones, revealing a constraint on how low-fidelity visual information is processed for motor learning.

This study shows that cerebellar degeneration impairs the discovery of a strategic re-aiming strategy but not its recall during a visuomotor adaptation task.