Shlomi Haar

This study demonstrates beta burst propagation from the motor cortex to upper-limb motor units using HDsEMG and EEG, showing time-locking and muscle-specific synchronisation.

This study investigates how error-based and reward-based motor learning mechanisms interact in real-world tasks using virtual reality, finding that reward feedback does not exclusively engage specific learning mechanisms.

This study examines how levodopa affects brain connectivity in Parkinson's patients using resting-state functional connectivity analysis across cross-sectional and longitudinal datasets.

The paper examines longitudinal brain atrophy in early Parkinson's disease and healthy aging, finding accelerated atrophy in PD patients and cerebellar volume changes suggesting compensatory mechanisms.

The paper examines hemispheric asymmetry in structural covariance networks in ASD across 43 datasets, finding altered topological features in specific brain regions.

This study evaluates how motor coordination predicts performance with a robotic third thumb in piano playing, showing individual differences in augmentation capability.

This paper presents a spiking neural model of the cerebellum that reproduces human motor adaptation behaviors and predicts effects of cerebellar damage.

This paper develops an embodied virtual reality setup for studying real-world motor learning, showing comparable learning trends to physical tasks and enabling controlled feedback manipulations.

This study investigates motor learning in real-world pool billiards, finding that learning affects whole-body movement and that initial variability in specific joints correlates with learning rates.

The paper examines PMBR dynamics in real-world motor learning and finds opposing changes in PMBR magnitude between subjects, suggesting different learning mechanisms.

The paper studies neurobehavioural patterns in a Formula E Champion during extreme driving conditions using multimodal data to characterise human expertise.

The paper examines how eye movements during visuomotor adaptation reflect explicit learning, finding that they capture only part of the explicit component, with reaction times correlating with the eye-movement-related part.

This study identifies altered structural brain asymmetry in autism spectrum disorder using a large-scale meta-analysis of MRI data from 1,774 ASD cases and 1,809 controls.

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

The paper shows that individual differences in movement variability are predicted by cortical neural variability in posterior-parietal cortex.

This study finds no significant increase in early head circumference in children later diagnosed with autism, challenging the overgrowth hypothesis of autism.

The paper identifies structural abnormalities in the temporal corpus callosum fibers of toddlers later diagnosed with autism, showing altered diffusion metrics and correlations with autism severity.