Bruno Averbeck, John P O'Doherty. Neuropsychopharmacology 2022
Times Cited: 3
Times Cited: 3
Times Cited
Times Co-cited
Similarity
66
A framework for mesencephalic dopamine systems based on predictive Hebbian learning.
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Reward Pays the Cost of Noise Reduction in Motor and Cognitive Control.
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By carrot or by stick: cognitive reinforcement learning in parkinsonism.
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A Postdecisional Neural Marker of Confidence Predicts Information-Seeking in Decision-Making.
Kobe Desender, Peter Murphy, Annika Boldt, Tom Verguts, Nick Yeung. J Neurosci 2019
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Efficient coding of subjective value.
Rafael Polanía, Michael Woodford, Christian C Ruff. Nat Neurosci 2019
Rafael Polanía, Michael Woodford, Christian C Ruff. Nat Neurosci 2019
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Normalized value coding explains dynamic adaptation in the human valuation process.
Mel W Khaw, Paul W Glimcher, Kenway Louie. Proc Natl Acad Sci U S A 2017
Mel W Khaw, Paul W Glimcher, Kenway Louie. Proc Natl Acad Sci U S A 2017
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Neural differentiation of expected reward and risk in human subcortical structures.
Kerstin Preuschoff, Peter Bossaerts, Steven R Quartz. Neuron 2006
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A neural signature of hierarchical reinforcement learning.
José J F Ribas-Fernandes, Alec Solway, Carlos Diuk, Joseph T McGuire, Andrew G Barto, Yael Niv, Matthew M Botvinick. Neuron 2011
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The limit to exercise tolerance in humans: mind over muscle?
Samuele Maria Marcora, Walter Staiano. Eur J Appl Physiol 2010
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Neuronal origins of choice variability in economic decisions.
Camillo Padoa-Schioppa. Neuron 2013
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Normalization is a general neural mechanism for context-dependent decision making.
Kenway Louie, Mel W Khaw, Paul W Glimcher. Proc Natl Acad Sci U S A 2013
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Optimal behavioral hierarchy.
Alec Solway, Carlos Diuk, Natalia Córdova, Debbie Yee, Andrew G Barto, Yael Niv, Matthew M Botvinick. PLoS Comput Biol 2014
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Modeling choice and reaction time during arbitrary visuomotor learning through the coordination of adaptive working memory and reinforcement learning.
Guillaume Viejo, Mehdi Khamassi, Andrea Brovelli, Benoît Girard. Front Behav Neurosci 2015
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Working-memory capacity protects model-based learning from stress.
A Ross Otto, Candace M Raio, Alice Chiang, Elizabeth A Phelps, Nathaniel D Daw. Proc Natl Acad Sci U S A 2013
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Revisiting the importance of model fitting for model-based fMRI: It does matter in computational psychiatry.
Kentaro Katahira, Asako Toyama. PLoS Comput Biol 2021
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The neural basis of loss aversion in decision-making under risk.
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Speed/accuracy trade-off between the habitual and the goal-directed processes.
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Evidence integration in model-based tree search.
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Functional role of the supplementary and pre-supplementary motor areas.
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Yuan Chang Leong, Angela Radulescu, Reka Daniel, Vivian DeWoskin, Yael Niv. Neuron 2017
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Toward a Rational and Mechanistic Account of Mental Effort.
Amitai Shenhav, Sebastian Musslick, Falk Lieder, Wouter Kool, Thomas L Griffiths, Jonathan D Cohen, Matthew M Botvinick. Annu Rev Neurosci 2017
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Deterministic response strategies in a trial-and-error learning task.
Holger Mohr, Katharina Zwosta, Dimitrije Markovic, Sebastian Bitzer, Uta Wolfensteller, Hannes Ruge. PLoS Comput Biol 2018
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Expectations of reward and efficacy guide cognitive control allocation.
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Strategic control in decision-making under uncertainty.
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Interactions between ventrolateral prefrontal and anterior cingulate cortex during learning and behavioural change.
Ilya E Monosov, Matthew F S Rushworth. Neuropsychopharmacology 2022
Ilya E Monosov, Matthew F S Rushworth. Neuropsychopharmacology 2022
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Dorsal anterior cingulate cortex and the value of control.
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Amitai Shenhav, Jonathan D Cohen, Matthew M Botvinick. Nat Neurosci 2016
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Choice history biases subsequent evidence accumulation.
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A computational and neural model of momentary subjective well-being.
Robb B Rutledge, Nikolina Skandali, Peter Dayan, Raymond J Dolan. Proc Natl Acad Sci U S A 2014
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The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation.
James C R Whittington, Timothy H Muller, Shirley Mark, Guifen Chen, Caswell Barry, Neil Burgess, Timothy E J Behrens. Cell 2020
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An opportunity cost model of subjective effort and task performance.
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Learning arbitrary stimulus-reward associations for naturalistic stimuli involves transition from learning about features to learning about objects.
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Decoding subjective decisions from orbitofrontal cortex.
Erin L Rich, Jonathan D Wallis. Nat Neurosci 2016
Erin L Rich, Jonathan D Wallis. Nat Neurosci 2016
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Transformation of stimulus value signals into motor commands during simple choice.
Todd A Hare, Wolfram Schultz, Colin F Camerer, John P O'Doherty, Antonio Rangel. Proc Natl Acad Sci U S A 2011
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Regulation of dietary choice by the decision-making circuitry.
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Overrepresentation of extreme events in decision making reflects rational use of cognitive resources.
Falk Lieder, Thomas L Griffiths, Ming Hsu. Psychol Rev 2018
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Irrational time allocation in decision-making.
Bastiaan Oud, Ian Krajbich, Kevin Miller, Jin Hyun Cheong, Matthew Botvinick, Ernst Fehr. Proc Biol Sci 2016
Bastiaan Oud, Ian Krajbich, Kevin Miller, Jin Hyun Cheong, Matthew Botvinick, Ernst Fehr. Proc Biol Sci 2016
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Deep Reinforcement Learning and Its Neuroscientific Implications.
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Joint modeling of reaction times and choice improves parameter identifiability in reinforcement learning models.
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Ian C Ballard, Samuel M McClure. J Neurosci Methods 2019
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.