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Journal ArticleDOI

Multiple reward signals in the brain

Wolfram Schultz
- 01 Dec 2000 - 
- Vol. 1, Iss: 3, pp 199-207
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TLDR
Recent neurophysiological studies in primates that have revealed that neurons in a limited number of brain structures carry specific signals about past and future rewards provide the first step towards an understanding of how rewards influence behaviour before they are received.
Abstract
The fundamental biological importance of rewards has created an increasing interest in the neuronal processing of reward information. The suggestion that the mechanisms underlying drug addiction might involve natural reward systems has also stimulated interest. This article focuses on recent neurophysiological studies in primates that have revealed that neurons in a limited number of brain structures carry specific signals about past and future rewards. This research provides the first step towards an understanding of how rewards influence behaviour before they are received and how the brain might use reward information to control learning and goal-directed behaviour.

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Citations
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Dynamic predictions: Oscillations and synchrony in top–down processing

TL;DR: It is argued that coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing.
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The reward circuit: linking primate anatomy and human imaging.

TL;DR: It is shown that human functional and structural imaging results map increasingly close to primate anatomy, and advances in neuroimaging techniques allow better spatial and temporal resolution.
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Neurobiology of depression.

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On the relationship between emotion and cognition

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References
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Journal ArticleDOI

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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The neural basis of drug craving: An incentive-sensitization theory of addiction

TL;DR: S sensitization of incentive salience can produce addictive behavior even if the expectation of drug pleasure or the aversive properties of withdrawal are diminished and even in the face of strong disincentives, including the loss of reputation, job, home and family.
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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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A model for Pavlovian learning: Variations in the effectiveness of conditioned but not of unconditioned stimuli.

TL;DR: A new model is proposed that deals with the explanation of cases in which learning does not occur in spite of the fact that the conditioned stimulus is a signal for the reinforcer by specifying that certain procedures cause a conditioned stimulus to lose effectiveness.
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A Theory of Attention: Variations in the Associability of Stimuli with Reinforcement

TL;DR: Overshadowing and blocking are better explained by the choice of an appropriate rule for changing a, such that a decreases to stimuli that signal no change from the probability of reinforcement predicted by other stimuli.
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