Neeraj Kumar

The paper investigates how memory reactivation influences motor memory interference, finding that reactivating a memory before interference protects it from disruption.

This study investigates the effect of single-session 10 Hz rTMS over the right dLPFC on automatic alcohol approach tendencies, finding enhanced prefrontal control and reduced automaticity.

This study uses transcranial stimulation to show that the right dorsolateral prefrontal cortex and posterior parietal cortex have distinct roles in regulating automatic alcohol approach tendencies.

This paper investigates how contextual cues and transition statistics influence the retrieval of competing motor memories, showing that memory expression is biased by learned stability and recency rather than being purely cue-driven.

This study investigates how working memory engagement after skill reactivation affects interlimb skill generalization, finding a time-dependent dual effect: enhancing immediate generalization but impairing it after a 24-hour delay.

This study shows that consolidation separates implicit and explicit components of compound motor memories, making them context-dependent after 24 hours.

This study examines how counterconditioning with retrieval cues affects approach biases and Pavlovian-to-instrumental transfer in male alcohol users, showing selective reductions in approach-oriented individuals.

The paper investigates neural mechanisms of approach and avoidance tendencies toward alcohol using EEG, finding differences in P3 and FN400 amplitudes and right prefrontal activity between approach and avoidance groups.

This study shows that initial engagement of model-free or model-based mechanisms in motor learning biases subsequent adaptations, even when task demands change.

The paper shows that humans can selectively adapt to sensorimotor errors based on their task relevance, challenging the idea that all error signals drive adaptation equally.

This study investigates how working memory tasks after skill training affect interlimb generalization, finding that short training and working memory interfere, while long training does not.

The paper introduces a new method to simultaneously separate phase-locked and non-phase-locked EEG activity, showing its effectiveness through simulations and experimental data.