A series of experiments shows how muscle fatigue impairs motor-skill learning on subsequent practice days beyond its effects on task execution.

A systematic assessment of previously proposed fMRI metrics of motor sequence learning reveals widespread activity reductions and subtle multivariate pattern changes outside of primary motor cortex.

State anxiety alters the dynamics of beta oscillations during reward-dependent motor learning, thereby impairing proper updating of motor predictions when learning in unstable environments.

CCK released from the neural projections from the rhinal cortex to the motor cortex modulates neural plasticity and facilitates motor skill learning.

Visual, motor, and forward model gains learn from a postdictive update of space to keep perception and saccadic motor function aligned.

Sleep spindles, distinctive brain activity patterns occurring in non-REM sleep, modify cross-area connectivity in the motor network relevant for behavioral flexibility, impacting subsequent behavior.

Individualized cross-frequency analyses reveal regionally specific slow oscillation–sleep spindle coupling precision as predictor for gross-motor learning dynamics.

Major neuronal subtypes in M1 show differential responses to reward and reward-associated stimuli and undergo cell-type-specific plasticity following associative learning.

Delivery of auditory triggers as unique slow waves-targeting approach yields efficient, stable, and precise modulation of slow-wave activity in rats.

Electrode recordings and optogenetics reveal that the cerebellum can modulate its response to error signals from the brainstem during motor learning.