ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2008
Tripartite mechanism of extinction suggested by dopamine neuron activity and temporal difference model.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
- KChIP4a is a Biophysical Amplifier of Inhibition in Atypical Dopamine Neurons and Controls Learning from Negative Prediction Errors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Distinct spatially organized striatum-wide acetylcholine dynamics for the learning and extinction of Pavlovian associations.Nature communications · 2025Article
- Article
- Natural phasic inhibition of dopamine neurons signals cognitive rigidity.bioRxiv : the preprint server for biology · 2024Article
- Mesolimbic dopamine release conveys causal associations.Science (New York, N.Y.) · 2022Article
- Neurons of the Ventral Tegmental Area Encode Individual Differences in Motivational "Wanting" for Reward Cues.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- A systems-neuroscience model of phasic dopamine.Psychological review · 2020Article
- Abundance Compensates Kinetics: Similar Effect of Dopamine Signals on D1 and D2 Receptor Populations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Maladaptive avoidance patterns in Parkinson's disease are exacerbated by symptoms of depression.Behavioural brain research · 2020Article
- Decreases in Cued Reward Seeking After Reward-Paired Inhibition of Mesolimbic Dopamine.Neuroscience · 2019Article
- The timing of action determines reward prediction signals in identified midbrain dopamine neurons.Nature neuroscience · 2018Article
- Model-based predictions for dopamine.Current opinion in neurobiology · 2018Review
- Forgetting in Reinforcement Learning Links Sustained Dopamine Signals to Motivation.PLoS computational biology · 2016Article
- Uncertainty-Dependent Extinction of Fear Memory in an Amygdala-mPFC Neural Circuit Model.PLoS computational biology · 2016Article
- Reward Anticipation Is Encoded Differently by Adolescent Ventral Tegmental Area Neurons.Biological psychiatry · 2016Article
- L-type Ca²⁺ channel blockade with antihypertensive medication disrupts VTA synaptic plasticity and drug-associated contextual memory.Molecular psychiatry · 2016Article
- Prediction error and trace dominance determine the fate of fear memories after post-training manipulations.Learning & memory (Cold Spring Harbor, N.Y.) · 2015Article
- A Specific Component of the Evoked Potential Mirrors Phasic Dopamine Neuron Activity during Conditioning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Actigraph evaluation of acupuncture for treating restless legs syndrome.Evidence-based complementary and alternative medicine : eCAM · 2015Article
- Extinction and reinstatement of phasic dopamine signals in the nucleus accumbens core during Pavlovian conditioning.Behavioral neuroscience · 2014Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extinction of behavior enables adaptation to a changing world and is crucial for recovery from disorders such as phobias and drug addiction. However, the brain mechanisms underlying behavioral extinction remain poorly understood. Midbrain dopamine (DA) neurons appear to play a central role in most acquisition processes of appetitive conditioning. Here, we show that the responses of putative DA neurons to conditioned reward predicting cues also dynamically encode two classical features of extinction: decrement in amplitude of previously learned excitatory responses and rebound of responding on subsequent retesting (spontaneous recovery). Crucially, this encoding involves development of inhibitory responses in the DA neurons, reflecting new, extinction-specific learning in the brain. We explored the implications of this finding by adding such inhibitory inputs to a standard temporal difference model of DA cell activity. We found that combining extinction-triggered plasticity of these inputs with a time-dependent spontaneous decay of weights, equivalent to a forgetting process as described in classical behavioral extinction literature, enabled the model to simulate several classical features of extinction. A key requirement to achieving spontaneous recovery was differential rates of spontaneous decay for weights representing original conditioning and for subsequent extinction learning. A testable prediction of the model is thus that differential decay properties exist within the wider circuits regulating DA cell activity. These findings are consistent with the hypothesis that extinction processes at both cellular and behavioral levels involve a dynamic interaction between new (inhibitory) learning, forgetting, and unlearning.
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