Neural correlates of reward prediction errors (RPEs) have been found in dorsal striatum. Such signals may be important for updating associative action representations within striatum. In order that the appropriate representations can be updated, it might be important for the RPE signal to be specific for the action that led to that error. However, RPEs signaled by midbrain dopamine neurons, which project heavily to striatum, are not action-specific. Here we tested whether RPE-like activity in dorsal striatum is action-specific; we recorded single-unit activity in posterior dorsomedial and dorsolateral striatum as rats performed a task in which the reward predictions associated with two different actions were repeatedly violated, thereby eli...
Compared to our understanding of positive prediction error signals occurring due to unexpected rewar...
The striatum has been established as a carrier of reward related prediction errors. This prediction ...
Reinforcement learning describes motivated behavior in terms of two abstract signals. The representa...
The nervous system is hypothesized to compute reward prediction errors (RPEs) to promote adaptive be...
Situations where rewards are unexpectedly obtained or withheld represent opportunities for new learn...
Physiologic studies revealed that neurons in the dopaminergic midbrain of non-human primates encode ...
It has been suggested that the midbrain dopamine (DA) neurons, receiving inputs from the cortico-bas...
To repeat actions that lead to good outcomes and to avoid repeating actions that lead to undesirable...
Dopamine neurons are thought to facilitate learning by signaling reward prediction errors (RPEs), th...
Making predictions about the rewards associated with environmental stimuli and updating those predic...
The activity of dopaminergic neurons are thought to be increased by stimuli that predict reward and ...
Prediction-error signals consistent with formal models of “reinforcement learning” (RL) have repeate...
International audienceReward prediction error (RPE) signals are crucial for reinforcement learning a...
SummaryReward prediction error (RPE) signals are central to current models of reward-learning. Tempo...
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...
The striatum has been established as a carrier of reward related prediction errors. This prediction ...
Reinforcement learning describes motivated behavior in terms of two abstract signals. The representa...
The nervous system is hypothesized to compute reward prediction errors (RPEs) to promote adaptive be...
Situations where rewards are unexpectedly obtained or withheld represent opportunities for new learn...
Physiologic studies revealed that neurons in the dopaminergic midbrain of non-human primates encode ...
It has been suggested that the midbrain dopamine (DA) neurons, receiving inputs from the cortico-bas...
To repeat actions that lead to good outcomes and to avoid repeating actions that lead to undesirable...
Dopamine neurons are thought to facilitate learning by signaling reward prediction errors (RPEs), th...
Making predictions about the rewards associated with environmental stimuli and updating those predic...
The activity of dopaminergic neurons are thought to be increased by stimuli that predict reward and ...
Prediction-error signals consistent with formal models of “reinforcement learning” (RL) have repeate...
International audienceReward prediction error (RPE) signals are crucial for reinforcement learning a...
SummaryReward prediction error (RPE) signals are central to current models of reward-learning. Tempo...
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...
The striatum has been established as a carrier of reward related prediction errors. This prediction ...
Reinforcement learning describes motivated behavior in terms of two abstract signals. The representa...