Updating dopamine reward signals

By Wolfram Schultz. Current Opinion in Neurobiology, 2013

640 citations recorded by the source corpus.

Highlights ► Dopamine prediction errors are influenced by model-based information. ► Dopamine neurons show limited activations to punishers when proper controls are made. ► Dopamine neurons do not code salience to a substantial extent. ► Intact dopamine mechanisms are required for learning and posysynaptic plasticity.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/e385bcf4fa7454799b127b1977d15f54fc441405

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Yoshinori Aso
2. Gerald M. Rubin
3. Kent C. Berridge
4. Morten L. Kringelbach
5. Hiromu Tanimoto
6. R. Malenka
7. S. Lammel
8. Nobuhiro Yamagata

In Cognitive Neuroscience

1. Kent C. Berridge
2. Morten L. Kringelbach
3. R. Malenka
4. S. Lammel
5. B. Lim
6. Yoshinori Aso
7. Gerald M. Rubin
8. A. Yarali

In Molecular Biology

1. Morten L. Kringelbach
2. Yoshinori Aso
3. Kent C. Berridge
4. R. Malenka
5. Hiromu Tanimoto
6. Gerald M. Rubin
7. A. Yarali
8. Belén C. Guerra-Carrillo

Citations in the corpus

• Reward signal in a recurrent circuit drives appetitive long-term memory formation (2015, positive): “In both vertebrates and invertebrates, the activity of reinforcement neurons is modified upon associative learning (Hammer, 1993; Mirenowicz and Schultz, 1994; Riemensperger et al., 2005; Cohen et al., 2012; Schultz, 2013).”
• Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development? (2016, background): “Future research could evaluate whether task-evoked blink rate in decisionmaking paradigms has the temporal resolution needed to capture phasic changes in DA release, which are known to occur during reward processing (Schultz, 2013).”
• Pleasure systems in the brain (2015, background): “These issues have been discussed elsewhere, and no doubt will be discussed further in the future, perhaps eventually producing clearer consensus on dopamine in reward learning (Berridge, 2012; Berridge and O'Doherty, 2014; Collins and Frank, 2014; Schultz, 2013 ).”
• Reward and aversion in a heterogeneous midbrain dopamine system (2013, background): “While it has been argued that a relatively small proportion of DA neurons respond to aversive stimuli (Schultz, 2012), a recent study in mice found that roughly equivalent numbers of putative VTA DA neurons are activated or inhibited by tail pinch (Zweifel et al.”
• States of curiosity modulate hippocampus-dependent learning via the dopaminergic circuit (2014, neutral): “However, we note that responses to external reward in the dopaminergic circuit scale with reward prediction errors and value (Dayan andBalleine, 2002; Schultz, 2013).”
• Pain-relief learning in flies, rats, and man: basic research and applied perspectives (2014, background): “…neurons in the monkey were either not observed at all (most midbrain dopamine neurons are instead activated strongly by unpredicted rewards and reward-predicting stimuli [Schultz 2013]) or were seen only for aversive air puff, or only for bad taste—but not both (Fiorillo et al. 2013b, loc. cit.”