Representation and timing in theories of the dopamine system.
about
Grid cells, place cells, and geodesic generalization for spatial reinforcement learningNeuronal Reward and Decision Signals: From Theories to Data.Mesolimbic dopamine signals the value of work.A unified framework for addiction: vulnerabilities in the decision processOptimal compensation for temporal uncertainty in movement planning.Temporal-difference reinforcement learning with distributed representationsLearning latent structure: carving nature at its joints.A pallidus-habenula-dopamine pathway signals inferred stimulus values.Reward optimization in the primate brain: a probabilistic model of decision making under uncertainty.Model-based influences on humans' choices and striatal prediction errors.Modelling individual differences in the form of Pavlovian conditioned approach responses: a dual learning systems approach with factored representations.Dissociable reward and timing signals in human midbrain and ventral striatumA Unifying Probabilistic View of Associative LearningTamping Ramping: Algorithmic, Implementational, and Computational Explanations of Phasic Dopamine Signals in the AccumbensNovelty and Inductive Generalization in Human Reinforcement LearningPredicting explorative motor learning using decision-making and motor noiseLearning to represent reward structure: a key to adapting to complex environments.A computational model of craving and obsession.Temporal Specificity of Reward Prediction Errors Signaled by Putative Dopamine Neurons in Rat VTA Depends on Ventral StriatumFunctional Relevance of Different Basal Ganglia Pathways Investigated in a Spiking Model with Reward Dependent PlasticityHuman reinforcement learning subdivides structured action spaces by learning effector-specific valuesReinforcement learning, conditioning, and the brain: Successes and challenges.Computational models of reinforcement learning: the role of dopamine as a reward signal.Time representation in reinforcement learning models of the basal ganglia.Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework.A simple computational algorithm of model-based choice preference.Mediofrontal Negativity Signals Unexpected Timing of Salient Outcomes.Reinforcement learning with Marr.Instrumental vigour in punishment and reward.Distributed and Mixed Information in Monosynaptic Inputs to Dopamine Neurons.Decision making under uncertainty: a neural model based on partially observable markov decision processes.Computing reward-prediction error: an integrated account of cortical timing and basal-ganglia pathways for appetitive and aversive learning.Timing and expectation of reward: a neuro-computational model of the afferents to the ventral tegmental areaDopamine reward prediction errors reflect hidden-state inference across time.Functional coding variation in the presynaptic dopamine transporter associated with neuropsychiatric disorders drives enhanced motivation and context-dependent impulsivity in mice.Influence of reward delays on responses of dopamine neurons.Change detection, multiple controllers, and dynamic environments: insights from the brain.Internal-time temporal difference model for neural value-based decision making.Evaluating the TD model of classical conditioning.Conditioning and time representation in long short-term memory networks.
P2860
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P2860
Representation and timing in theories of the dopamine system.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Representation and timing in theories of the dopamine system.
@en
type
label
Representation and timing in theories of the dopamine system.
@en
prefLabel
Representation and timing in theories of the dopamine system.
@en
P2860
P1433
P1476
Representation and timing in theories of the dopamine system.
@en
P2093
Nathaniel D Daw
P2860
P304
P356
10.1162/NECO.2006.18.7.1637
P577
2006-07-01T00:00:00Z