Related references
Note: Only part of the references are listed.Multiplexing signals in reinforcement learning with internal models and dopamine
Hiroyuki Nakahara
CURRENT OPINION IN NEUROBIOLOGY (2014)
Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations
Florian Lesaint et al.
PLOS COMPUTATIONAL BIOLOGY (2014)
Pavlovian valuation systems in learning and decision making
Jeremy J. Clark et al.
CURRENT OPINION IN NEUROBIOLOGY (2012)
Model-based learning and the contribution of the orbitofrontal cortex to the model-free world
Michael A. McDannald et al.
EUROPEAN JOURNAL OF NEUROSCIENCE (2012)
The role of dopamine in the accumbens core in the expression of Pavlovian-conditioned responses
Benjamin T. Saunders et al.
EUROPEAN JOURNAL OF NEUROSCIENCE (2012)
The Successor Representation and Temporal Context
Samuel J. Gershman et al.
NEURAL COMPUTATION (2012)
Reinforcement-Based Decision Making in Corticostriatal Circuits: Mutual Constraints by Neurocomputational and Diffusion Models
Roger Ratcliff et al.
NEURAL COMPUTATION (2012)
Learning to represent reward structure: A key to adapting to complex environments
Hiroyuki Nakahara et al.
NEUROSCIENCE RESEARCH (2012)
Quantifying Individual Variation in the Propensity to Attribute Incentive Salience to Reward Cues
Paul J. Meyer et al.
PLOS ONE (2012)
Dopaminergic Genes Predict Individual Differences in Susceptibility to Confirmation Bias
Bradley B. Doll et al.
JOURNAL OF NEUROSCIENCE (2011)
The General and Outcome-Specific Forms of Pavlovian-Instrumental Transfer Are Differentially Mediated by the Nucleus Accumbens Core and Shell
Laura H. Corbit et al.
JOURNAL OF NEUROSCIENCE (2011)
A selective role for dopamine in stimulus-reward learning
Shelly B. Flagel et al.
NATURE (2011)
Expectancy-related changes in firing of dopamine neurons depend on orbitofrontal cortex
Yuji K. Takahashi et al.
NATURE NEUROSCIENCE (2011)
From reinforcement learning models to psychiatric and neurological disorders
Tiago V. Maia et al.
NATURE NEUROSCIENCE (2011)
Model-Based Influences on Humans' Choices and Striatal Prediction Errors
Nathaniel D. Daw et al.
NEURON (2011)
Distinct Tonic and Phasic Anticipatory Activity in Lateral Habenula and Dopamine Neurons
Ethan S. Bromberg-Martin et al.
NEURON (2010)
Multiple Timescales of Memory in Lateral Habenula and Dopamine Neurons
Ethan S. Bromberg-Martin et al.
NEURON (2010)
An Animal Model of Genetic Vulnerability to Behavioral Disinhibition and Responsiveness to Reward-Related Cues: Implications for Addiction
Shelly B. Flagel et al.
NEUROPSYCHOPHARMACOLOGY (2010)
Prefrontal and striatal dopaminergic genes predict individual differences in exploration and exploitation
Michael J. Frank et al.
NATURE NEUROSCIENCE (2009)
Individual differences in the attribution of incentive salience to reward-related cues: Implications for addiction
Shelly B. Flagel et al.
NEUROPHARMACOLOGY (2009)
Dopamine, Reinforcement Learning, and Addiction
P. Dayan
PHARMACOPSYCHIATRY (2009)
Decision theory, reinforcement learning, and the brain
Peter Dayan et al.
COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE (2008)
Anticipatory reward signals in ventral striatal neurons of behaving rats
Mehdi Khamassi et al.
EUROPEAN JOURNAL OF NEUROSCIENCE (2008)
Learning the value of information in an uncertain world
Timothy E. J. Behrens et al.
NATURE NEUROSCIENCE (2007)
Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control
ND Daw et al.
NATURE NEUROSCIENCE (2005)
Conditioning and cognition
CL Pickens et al.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2004)
Temporal difference models and reward-related learning in the human brain
JP O'Doherty et al.
NEURON (2003)
Individual differences in Pavlovian autoshaping of lever pressing in rats predict stress-induced corticosterone release and mesolimbic levels of monoamines
A Tomie et al.
PHARMACOLOGY BIOCHEMISTRY AND BEHAVIOR (2000)