Cited by 2,574Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology StudiesNeural dynamics and brain function

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Getting Formal with Dopamine and Reward

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Schultz, Wolfram·2002·Neuron

DOI 10.1016/s0896-6273(02)00967-4

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Abstract

Recent neurophysiological studies reveal that neurons in certain brain structures carry specific signals about past and future rewards. Dopamine neurons display a short-latency, phasic reward signal indicating the difference between actual and predicted rewards. The signal is useful for enhancing neuronal processing and learning behavioral reactions. It is distinctly different from dopamine's tonic enabling of numerous behavioral processes. Neurons in the striatum, frontal cortex, and amygdala also process reward information but provide more differentiated information for identifying and anticipating rewards and organizing goal-directed behavior. The different reward signals have complementary functions, and the optimal use of rewards in voluntary behavior would benefit from interactions between the signals. Addictive psychostimulant drugs may exert their action by amplifying the dopamine reward signal.

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A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Self-citation
The neural basis of drug craving: An incentive-sensitization theory of addiction
Robinson, T. (1993) · Brain Research Reviews · doi:10.1016/0165-0173(93)90013-p · Cited by 7,346
A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement
Rescorla, R. A. (1972) · Medical Entomology and Zoology · Cited by 7,268
Cognitive, social, and physiological determinants of emotional state.
Schachter, S., & Singer, J. (1962) · Psychological Review · doi:10.1037/h0046234 · Cited by 6,223
Predictive reward signal of dopamine neurons
Schultz, W. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.1 · Cited by 4,564
Self-citation
Untitled work
(1996) · Cited by 3,692
Neuronlike adaptive elements that can solve difficult learning control problems
Barto, A. G., Sutton, R. S., & Anderson, C. W. (1983) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/tsmc.1983.6313077 · Cited by 3,325
A theory of cerebellar cortex
Marr, D. (1969) · The Journal of Physiology · doi:10.1113/jphysiol.1969.sp008820 · Cited by 3,253
The Cerebellum as a Neuronal Machine
Eccles, J. C., Ito, M., & Szentágothai, J. (1967) · Springer eBooks · doi:10.1007/978-3-662-13147-3 · Cited by 3,229
A model for Pavlovian learning: Variations in the effectiveness of conditioned but not of unconditioned stimuli.
Pearce, J. M., & Hall, G. (1980) · Psychological Review · doi:10.1037/0033-295x.87.6.532 · Cited by 3,023

Show all 208 references

Research works printed but not linked: 1

Andén, 1966, A quantitative study on the nigro-neostriatal dopamine neurons. Acta physiol, Scand., 67, 306

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Decision theory, reinforcement learning, and the brain
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Pathological Gambling Caused by Drugs Used to Treat Parkinson Disease
Dodd, M. L., Klos, K. J., Bower, J. H., Geda, Y. E., Josephs, K. A., & Ahlskog, J. E. (2005) · Archives of Neurology · doi:10.1001/archneur.62.9.noc50009 · Cited by 563
Reinforcement-related brain potentials from medial frontal cortex: Origins and functional significance
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Hyperdopaminergic mutant mice have higher "wanting" but not "liking" for sweet rewards
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Modalities, Modes, and Models in Functional Neuroimaging
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Clark, L., Cools, R., & Robbins, T. W. (2004) · Brain and Cognition · doi:10.1016/s0278-2626(03)00284-7 · Cited by 439
Anterior cingulate activity during error and autonomic response
Critchley, H. D., Tang, J., Glaser, D., Butterworth, B., & Dolan, R. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.047 · Cited by 445
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Garland, T., Schutz, H., Chappell, M. A., Keeney, B. K., Meek, T. H., Copes, L. E., Acosta, W., Drenowatz, C., Maciel, R. C., van Dijk, G., et al. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.048397 · Cited by 444
Membrane potential correlates of sensory perception in mouse barrel cortex
Sachidhanandam, S., Sreenivasan, V., Kyriakatos, A., Kremer, Y., & Petersen, C. C. H. (2013) · Nature Neuroscience · doi:10.1038/nn.3532 · Cited by 384
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Overlapping Brain Circuits for Homeostatic and Hedonic Feeding
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Reinforcement Learning Signals in the Human Striatum Distinguish Learners from Nonlearners during Reward-Based Decision Making
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Authors: Schultz, W.
Affiliations: University of Fribourg (CH)
Corresponding author: Schultz, Wolfram
ORCID: Schultz, Wolfram
Venue: Neuron
Publisher: Elsevier BV
Published: 2002-10
Volume: 36
Issue: 2
Pages: 241-263
ISSN: 0896-6273 (ISSN-L)
DOI: 10.1016/s0896-6273(02)00967-4
OpenAlex: W1998152406
Cited by: 2,574
References: 208
Citations by year: 2026: 22 · 2025: 56 · 2024: 101 · 2023: 46 · 2022: 54 · 2021: 76 · 2020: 94 · 2019: 87 · 2018: 91 · 2017: 88 · 2016: 117 · 2015: 113 · 2014: 146 · 2013: 130 · 2012: 138
FWCI: 8.71
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 3942 d)
Locations: Neuron (publishedVersion)
PubMed (publishedVersion)
Funders: Wellcome Trust (095495)
Topics: Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords: dopamine, reward signals, prediction error, striatum, frontal cortex, amygdala, goal-directed behavior, stimulant use disorder
MeSH terms: Animals, Brain, Dopamine, Humans, Neurons, Reward, Illicit Drugs

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