Reinforcement learning in probabilistic environment and its role in human adaptive and maladaptive behavior
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[1] J. S. Robinson. Stimulus substitution and response learning in the earthworm. , 1953, Journal of comparative and physiological psychology.
[2] J. Yellott. Probability learning with noncontingent success , 1969 .
[3] The state of pleasure and its role in instrumental conditioning. , 1976, Activitas nervosa superior.
[4] J E Staddon,et al. Matching, maximizing, and hill-climbing. , 1983, Journal of the experimental analysis of behavior.
[5] L. Alloy,et al. Assessment of covariation by humans and animals: The joint influence of prior expectations and current situational information. , 1984 .
[6] W. J. Griffiths,et al. Free-Operant Acquisition with Delayed Reinforcement , 1992 .
[7] R N Aslin,et al. Statistical Learning by 8-Month-Old Infants , 1996, Science.
[8] W. Schultz. Predictive reward signal of dopamine neurons. , 1998, Journal of neurophysiology.
[9] Michael B. Miller,et al. The Left Hemisphere's Role in Hypothesis Formation , 2000, The Journal of Neuroscience.
[10] Morten H. Christiansen,et al. Sequential learning in non-human primates , 2001, Trends in Cognitive Sciences.
[11] Clay B. Holroyd,et al. The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity. , 2002, Psychological review.
[12] P. Balsam,et al. Timing at the Start of Associative Learning , 2002 .
[13] Clay B. Holroyd,et al. Reinforcement-related brain potentials from medial frontal cortex: origins and functional significance , 2004, Neuroscience & Biobehavioral Reviews.
[14] Michael J. Frank,et al. By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism , 2004, Science.
[15] C. Gallistel,et al. The learning curve: implications of a quantitative analysis. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[16] V. Russell,et al. A dynamic developmental theory of attention-deficit/hyperactivity disorder (ADHD) predominantly hyperactive/impulsive and combined subtypes. , 2005, The Behavioral and brain sciences.
[17] Jonathan D. Cohen,et al. An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. , 2005, Annual review of neuroscience.
[18] P. Glimcher,et al. Midbrain Dopamine Neurons Encode a Quantitative Reward Prediction Error Signal , 2005, Neuron.
[19] P. Glimcher,et al. Statistics of midbrain dopamine neuron spike trains in the awake primate. , 2007, Journal of neurophysiology.
[20] M. Laruelle,et al. Neurobiology of dopamine in schizophrenia. , 2007, International review of neurobiology.
[21] K. Zanolie,et al. Neural mechanisms supporting flexible performance adjustment during development , 2008, Cognitive, affective & behavioral neuroscience.
[22] Karl J. Friston,et al. Do patients with schizophrenia exhibit aberrant salience? , 2008, Psychological Medicine.
[23] M. Corbetta,et al. The Reorienting System of the Human Brain: From Environment to Theory of Mind , 2008, Neuron.
[24] M. Pessiglione,et al. Pharmacological modulation of subliminal learning in Parkinson's and Tourette's syndromes , 2009, Proceedings of the National Academy of Sciences.
[25] E. Thorndike. Animal Intelligence; Experimental Studies , 2009 .
[26] John R. Anderson,et al. Learning from delayed feedback: neural responses in temporal credit assignment , 2011, Cognitive, affective & behavioral neuroscience.
[27] M. Frank,et al. From reinforcement learning models to psychiatric and neurological disorders , 2011, Nature Neuroscience.
[28] Nicola K. Ferdinand,et al. The Processing of Unexpected Positive Response Outcomes in the Mediofrontal Cortex , 2012, The Journal of Neuroscience.
[29] J. Homberg. Serotonin and decision making processes , 2012, Neuroscience & Biobehavioral Reviews.
[30] D. Pizzagalli,et al. Assessment of reward responsiveness in the response bias probabilistic reward task in rats: implications for cross-species translational research , 2013, Translational Psychiatry.
[31] G. Baldassarre,et al. The three principles of action: a Pavlovian-instrumental transfer hypothesis , 2013, Front. Behav. Neurosci..
[32] Josiah R. Boivin,et al. A Causal Link Between Prediction Errors, Dopamine Neurons and Learning , 2013, Nature Neuroscience.
[33] P. Dayan,et al. Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelation , 2014, Cognitive, affective & behavioral neuroscience.
[34] A. Heinz,et al. Pavlovian-to-Instrumental Transfer in Alcohol Dependence: A Pilot Study , 2014, Neuropsychobiology.
[35] Ralph R. Miller,et al. Timing: An attribute of associative learning , 2014, Behavioural Processes.
[36] Minmin Luo,et al. Dorsal Raphe Neurons Signal Reward through 5-HT and Glutamate , 2014, Neuron.
[37] L. Shin,et al. From Pavlov to PTSD: The extinction of conditioned fear in rodents, humans, and anxiety disorders , 2014, Neurobiology of Learning and Memory.
[38] Wei Ji Ma,et al. Neural coding of uncertainty and probability. , 2014, Annual review of neuroscience.
[39] Shiliang Zhang,et al. A glutamatergic reward input from the dorsal raphe to ventral tegmental area dopamine neurons , 2014, Nature Communications.
[40] B. Richmond,et al. Sensitivity of Locus Ceruleus Neurons to Reward Value for Goal-Directed Actions , 2015, The Journal of Neuroscience.
[41] Samuel Gershman,et al. A Unifying Probabilistic View of Associative Learning , 2015, PLoS Comput. Biol..
[42] A Role for the Locus Ceruleus in Reward Processing: Encoding Behavioral Energy Required for Goal-Directed Actions , 2015, The Journal of Neuroscience.
[43] A. Heinz,et al. Dimensional psychiatry: mental disorders as dysfunctions of basic learning mechanisms , 2016, Journal of Neural Transmission.
[44] C. Bellebaum,et al. Expectancy affects the feedback-related negativity (FRN) for delayed feedback in probabilistic learning. , 2016, Psychophysiology.
[45] Michael F. Green,et al. Probabilistic Reversal Learning in Schizophrenia: Stability of Deficits and Potential Causal Mechanisms. , 2016, Schizophrenia bulletin.
[46] Peter D Balsam,et al. Associative learning and timing , 2016, Current Opinion in Behavioral Sciences.
[47] L. Chelazzi,et al. How motivation and reward learning modulate selective attention. , 2016, Progress in brain research.
[48] P. Rudebeck,et al. The neural basis of reversal learning: An updated perspective , 2017, Neuroscience.