Optimal decision-making requires humans to predict the value and probability of prospective (rewarding) outcomes. The aim of the present study was to evaluate and dissociate the cortical mechanisms activated by information on an upcoming potentially rewarded target stimulus with varying probabilities. Electro-cortical activity was recorded during a cued Go/NoGo experiment, during which cue letters signaled upcoming target letters to which participants had to respond. The probability of target letter appearance after the cue letter and the amount of money that could be won for correct and fast responses were orthogonally manipulated across four task blocks. As expected, reward availability affected a prefrontally distributed reward-related p...
Inter-individual variability in risk preferences can be reflected in reward processing differences, ...
A recent theory holds that a component of the human event-related brain potential called the reward ...
Successful adaptive behavior requires the learning of associations between stimulus-specific choices...
Optimal decision-making requires humans to predict the value and probability of prospective (rewardi...
Humans (as well as animals) have an inherent tendency to seek out rewards and to avoid punishments. ...
Prediction of future rewards and discrepancy between actual and expected outcomes (prediction error)...
Reward probability and uncertainty are two fundamental parameters of decision making. Whereas reward...
Adaptive choice behavior depends critically on identifying and learning from outcome-predicting cues...
Reward probability and uncertainty are two fundamental parameters of decision making. Whereas reward...
Brain processing of reward information is essential for complex functions such as learning and motiv...
Previous research found that the neural substrates underlying perceived control highly overlap tho...
A widely observed phenomenon in decision making under risk is the apparent overweighting of unlikely...
International audienceThe orbitofrontal cortex is known to carry information regarding expected rewa...
Distinct psychological processes have been proposed to unfold in decision-making. The time course of...
The prospect of gaining money is an incentive widely at play in the real world. Such monetary motiva...
Inter-individual variability in risk preferences can be reflected in reward processing differences, ...
A recent theory holds that a component of the human event-related brain potential called the reward ...
Successful adaptive behavior requires the learning of associations between stimulus-specific choices...
Optimal decision-making requires humans to predict the value and probability of prospective (rewardi...
Humans (as well as animals) have an inherent tendency to seek out rewards and to avoid punishments. ...
Prediction of future rewards and discrepancy between actual and expected outcomes (prediction error)...
Reward probability and uncertainty are two fundamental parameters of decision making. Whereas reward...
Adaptive choice behavior depends critically on identifying and learning from outcome-predicting cues...
Reward probability and uncertainty are two fundamental parameters of decision making. Whereas reward...
Brain processing of reward information is essential for complex functions such as learning and motiv...
Previous research found that the neural substrates underlying perceived control highly overlap tho...
A widely observed phenomenon in decision making under risk is the apparent overweighting of unlikely...
International audienceThe orbitofrontal cortex is known to carry information regarding expected rewa...
Distinct psychological processes have been proposed to unfold in decision-making. The time course of...
The prospect of gaining money is an incentive widely at play in the real world. Such monetary motiva...
Inter-individual variability in risk preferences can be reflected in reward processing differences, ...
A recent theory holds that a component of the human event-related brain potential called the reward ...
Successful adaptive behavior requires the learning of associations between stimulus-specific choices...