Learning occurs when an outcome deviates from expectation (prediction error). According to formal learning theory, the defining paradigm demonstrating the role of prediction errors in learning is the blocking test. Here, a novel stimulus is blocked from learning when it is associated with a fully predicted outcome, presumably because the occurrence of the outcome fails to produce a prediction error. We investigated the role of prediction errors in human reward-directed learning using a blocking paradigm and measured brain activation with functional magnetic resonance imaging. Participants showed blocking of behavioral learning with juice rewards as predicted by learning theory. The medial orbitofrontal cortex and the ventral putamen showed ...
Reinforcement learning (RL) provides a framework involving two diverse approaches to reward-based de...
Situations where rewards are unexpectedly obtained or withheld represent opportunities for new learn...
Reward learning depends on accurate reward associations with potential choices. These associations c...
Learning occurs when an outcome deviates from expectation (prediction error). According to formal le...
Reinforcement learning describes motivated behavior in terms of two abstract signals. The representa...
Previous reports have described that neural activities in midbrain dopamine areas are sensitive to u...
Reinforcement learning (RL) in simple instrumental tasks is usually modeled as a monolithic process ...
Prediction-error signals consistent with formal models of "reinforcement learning" (RL) have repeate...
Compared to our understanding of positive prediction error signals occurring due to unexpected rewar...
International audienceWhether maximizing rewards and minimizing punishments rely on distinct brain s...
Reward learning depends on accurate reward associations with potential choices. These associations c...
Prediction-error signals consistent with formal models of “reinforcement learning” (RL) have repeate...
Reinforcement learning (RL) uses sequential experience with situations (“states”) and outcomes to as...
AbstractFunctional MRI experiments in human subjects strongly suggest that the striatum participates...
Many previous studies of the brain areas involved in reward prediction errors have not accounted for...
Reinforcement learning (RL) provides a framework involving two diverse approaches to reward-based de...
Situations where rewards are unexpectedly obtained or withheld represent opportunities for new learn...
Reward learning depends on accurate reward associations with potential choices. These associations c...
Learning occurs when an outcome deviates from expectation (prediction error). According to formal le...
Reinforcement learning describes motivated behavior in terms of two abstract signals. The representa...
Previous reports have described that neural activities in midbrain dopamine areas are sensitive to u...
Reinforcement learning (RL) in simple instrumental tasks is usually modeled as a monolithic process ...
Prediction-error signals consistent with formal models of "reinforcement learning" (RL) have repeate...
Compared to our understanding of positive prediction error signals occurring due to unexpected rewar...
International audienceWhether maximizing rewards and minimizing punishments rely on distinct brain s...
Reward learning depends on accurate reward associations with potential choices. These associations c...
Prediction-error signals consistent with formal models of “reinforcement learning” (RL) have repeate...
Reinforcement learning (RL) uses sequential experience with situations (“states”) and outcomes to as...
AbstractFunctional MRI experiments in human subjects strongly suggest that the striatum participates...
Many previous studies of the brain areas involved in reward prediction errors have not accounted for...
Reinforcement learning (RL) provides a framework involving two diverse approaches to reward-based de...
Situations where rewards are unexpectedly obtained or withheld represent opportunities for new learn...
Reward learning depends on accurate reward associations with potential choices. These associations c...