Leonardo G. Cohen

Brain-computer interface training fosters perceptual skills to detect errors

This study shows that real-time feedback on error-related potentials during perceptual training enhances error detection ability, outperforming conventional feedback methods.

Expert Motor Synergies Emerge Predominantly Offline During Early Skill Learning

The paper shows that expert motor synergies form early in skill learning, strengthen during rest breaks, and predict skill gains.

Skill Memory Expansion Shapes Micro-Scale Dynamics of Skill Learning

The paper identifies skill memory expansion as a key driver of early skill learning by analyzing neural dynamics during motor skill practice.

Cingulate and striatal hubs are linked to early skill learning

The paper links alpha and low-beta oscillatory activity in cingulate and striatal brain hubs to micro-offline gains during early skill learning.

Sequence action representations contextualize during early skill learning

The paper shows that neural representations of actions in motor skills differentiate during early learning, particularly offline, and shift brain regions involved as skill improves.

Generalization of procedural motor sequence learning after a single practice trial

The paper shows that early motor skill learning generalizes rapidly to related skills when they share parsing rule structures, but not when they share only ordinal or transitional structures.

Not only a matter of age: Machine learning-based characterization of the differential effect of brain stimulation on skill acquisition

This paper uses machine learning to predict how brain stimulation affects skill acquisition, finding that its benefits depend on an individual's learning efficiency rather than age.

Robust enhancement of motor sequence learning with 4mA transcranial electric stimulation

This study shows that 4mA tDCS improves motor sequence learning with lasting effects and better tolerability than previous methods.

Statistical learning occurs during practice while high-order rule learning during rest period

The paper distinguishes between statistical learning during task performance and high-order rule learning during rest periods using visuomotor sequence tasks.

The Prevalence of the Val66Met Polymorphism in Musicians: Possible Evidence for Compensatory Neuroplasticity from a pilot study.

This study examines the Val66Met polymorphism prevalence in musicians and a control group, finding no differences and suggesting potential compensation through practice.

Consolidation of human skill linked to waking hippocampo-neocortical replay

This study identifies fast waking neural replay during rest periods that correlates with skill consolidation in humans.

Beta rhythm events predict corticospinal motor output

This study investigates how beta rhythm events relate to corticospinal excitability and finds they predict MEP amplitudes but do not add variance beyond mean beta power.

Differential brain mechanisms of selection and maintenance of information during working memory

This study investigates the neural mechanisms of information selection and maintenance in working memory using MEG, identifying distinct patterns of oscillatory activity for selection and reactivation of memory content.

To jump or not to jump: The Bereitschaftspotential required to jump into 192-meter abyss

The paper records Bereitschaftspotential (BP) before extreme bungee jumping, showing it is similar to lab conditions.

Distributed cortical structural properties contribute to motor cortical excitability and inhibition

The paper identifies distributed brain structural patterns that predict motor cortical excitability and inhibition in healthy volunteers.

Offline coil position denoising enhances detection of TMS effects

This paper evaluates offline coil position denoising to improve detection of TMS effects by reducing variability from neuronavigated coil deviations.