A framework for mesencephalic dopamine systems based on predictive Hebbian learning
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Summary
A theoretical framework is developed that shows how mesencephalic dopamine systems could distribute to their targets a signal that represents information about future expectations and shows that, through a simple influence on synaptic plasticity, fluctuations in dopamine release can act to change the predictions in an appropriate manner.
- Type
- article
- Published
- 1996-03-01
- Cited by
- 2,118
- References
- 49
- Access
- Open access
- OpenAlex
- https://openalex.org/W1652173018
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:224172
Keywords
Neuroscience, Hebbian theory, Dopamine, Ventral tegmental area, Dopaminergic
References
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- Stochastic Models for Learning
- Bee foraging in uncertain environments using predictive hebbian learning
- Profound depression of mesolimbic dopamine release after morphine withdrawal in dependent rats.
- Why are Bumble Bees Risk Averse
- Neural dynamics of adaptive timing and temporal discrimination during associative learning
- Toward a modern theory of adaptive networks: expectation and prediction.
- Withdrawal from morphine or amphetamine: different effects on dopamine in the ventral-medial striatum studied with microdialysis.
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- Reliability and Novelty: Information Gain in Multi-Level Selection Systems
- Behavioral characterization of dopamine D5 receptor null mutant mice.
- Dopamine mediation of the feeding response to violations of spatial and temporal expectancies.
- Predictive neural coding of reward preference involves dissociable responses in human ventral midbrain and ventral striatum.
- Neural mechanisms of addiction: the role of reward-related learning and memory.
- The ability of the mesocortical dopamine system to operate in distinct temporal modes
- Posterior Weighted Reinforcement Learning with State Uncertainty
- Decision Making and Reward in Frontal Cortex
- Beyond simple reinforcement learning: the computational neurobiology of reward‐learning and valuation
- Event-related potential studies of outcome processing and feedback-guided learning
- Computational Substrates of Norms and Their Violations during Social Exchange
- Neural Representation of Reward Probability: Evidence from the Illusion of Control
- Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances
- Dual Reward Prediction Components Yield Pavlovian Sign- and Goal-Tracking
- Learning robust cortico-cortical associations with the basal ganglia: an integrative review.
- Towards building a more complex view of the lateral geniculate nucleus: Recent advances in understanding its role
- A computational model of executive control in frontal cortex and basal ganglia: multiple levels of analysis
- The Neural Basis of Long-term Romantic Love
- Computational models simulating electrophysiological activity in the basal ganglia.
- Mesocorticolimbic Generation of Desire and Dread along a Rostrocaudal Gradient in Medial Shell of Nucleus Accumbens.
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