W
Wolfram Schultz
Researcher at University of Cambridge
Publications - 250
Citations - 56271
Wolfram Schultz is an academic researcher from University of Cambridge. The author has contributed to research in topics: Reward system & Dopamine. The author has an hindex of 92, co-authored 240 publications receiving 52255 citations. Previous affiliations of Wolfram Schultz include University at Buffalo & Paul Scherrer Institute.
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A Neural Substrate of Prediction and Reward
TL;DR: Findings in this work indicate that dopaminergic neurons in the primate whose fluctuating output apparently signals changes or errors in the predictions of future salient and rewarding events can be understood through quantitative theories of adaptive optimizing control.
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Predictive Reward Signal of Dopamine Neurons
TL;DR: Dopamine systems may have two functions, the phasic transmission of reward information and the tonic enabling of postsynaptic neurons.
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Getting Formal with Dopamine and Reward
TL;DR: Recent neurophysiological studies reveal that neurons in certain brain structures carry specific signals about past and future rewards, and the optimal use of rewards in voluntary behavior would benefit from interactions between the signals.
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Discrete coding of reward probability and uncertainty by dopamine neurons.
TL;DR: Using distinct stimuli to indicate the probability of reward, it was found that the phasic activation of dopamine neurons varied monotonically across the full range of probabilities, supporting past claims that this response codes the discrepancy between predicted and actual reward.
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Behavioral Theories and the Neurophysiology of Reward
TL;DR: The scientific investigation of behavioral processes by animal learning theory and economic utility theory has produced a theoretical framework that can help to elucidate the neural correlates for reward functions in learning, goal-directed approach behavior, and decision making under uncertainty.