Vikram S. Chib

This study shows that cognitive fatigue increases perceived costs of physical effort by altering brain signals in the dorsolateral prefrontal cortex and insula.

This study shows that learned action values modulate error-based motor adaptation, revealing an interaction between reinforcement learning and motor memory.

This study links increased exertion variability to impaired effort assessment in individuals with multiple sclerosis, showing that variability correlates with less accurate self-reported exertion.

The paper shows how motor and mnemonic systems interact to form sensorimotor cognitive maps during movement learning, with individual differences shaping these maps.

This study investigates how neuromuscular signals affect fatigue and effort-based decision-making in humans through controlled biofeedback conditions.

This study investigates brain interactions during reward-based motor tasks, finding that ventral striatum and cerebellum show distinct activity and connectivity patterns based on task outcomes and individual preferences.

This study investigates how cognitive fatigue affects effort-based decision-making using fMRI, finding that fatigued individuals are more likely to choose lower reward options requiring less effort.

This study investigates how reward expectations influence effort expenditure through reference-dependent mechanisms, showing ventral striatal neural signals track these expectations and deviations.

This study shows that motivation increases the rate of adaptive response in motor learning, enhancing the speed of learning.

The paper investigates how motor cortical excitability reflects subjective reward value and mediates its impact on incentive-driven performance in humans.

This study uses fMRI to show that ventromedial prefrontal cortex encodes subjective effort valuation while anterior cingulate encodes choice difficulty during effort-based decisions.