Confirmation bias in human reinforcement learning: Evidence from counterfactual feedback processing

The Importance of Falsification in Computational Cognitive Modeling

(2017) Stefano Palminteri et al.   TRENDS IN COGNITIVE SCIENCES

Forming Beliefs: Why Valence Matters

(2016) Tali Sharot et al.   TRENDS IN COGNITIVE SCIENCES

Anxious individuals have difficulty learning the causal statistics of aversive environments

(2015) Michael Browning et al.   NATURE NEUROSCIENCE

Contextual modulation of value signals in reward and punishment learning

(2015) Stefano Palminteri et al.   Nature Communications

On the psychology of poverty

(2014) J. Haushofer et al.   SCIENCE

The evolution of decision rules in complex environments

(2014) Tim W. Fawcett et al.   TRENDS IN COGNITIVE SCIENCES

VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data

(2014) Jean Daunizeau et al.   PLoS Computational Biology

Adaptive properties of differential learning rates for positive and negative outcomes

(2013) Romain D. Cazé et al.   BIOLOGICAL CYBERNETICS

How initial confirmatory experience potentiates the detrimental influence of bad advice

(2013) Markus R. Staudinger et al.   NEUROIMAGE

Real and Fictive Outcomes Are Processed Differently but Converge on a Common Adaptive Mechanism

(2013) Adrian G. Fischer et al.   NEURON

Dissociable Effects of Dopamine and Serotonin on Reversal Learning

(2013) Hanneke E.M. den Ouden et al.   NEURON

Neural Prediction Errors Reveal a Risk-Sensitive Reinforcement-Learning Process in the Human Brain

(2012) Y. Niv et al.   JOURNAL OF NEUROSCIENCE

Striatum–Medial Prefrontal Cortex Connectivity Predicts Developmental Changes in Reinforcement Learning

(2011) Wouter van den Bos et al.   CEREBRAL CORTEX

Signals in Human Striatum Are Appropriate for Policy Update Rather than Value Prediction

(2011) J. Li et al.   JOURNAL OF NEUROSCIENCE

From reinforcement learning models to psychiatric and neurological disorders

(2011) Tiago V Maia et al.   NATURE NEUROSCIENCE

Model-Based Influences on Humans' Choices and Striatal Prediction Errors

(2011) Nathaniel D. Daw et al.   NEURON

The Neural Basis of Following Advice

(2011) Guido Biele et al.   PLOS BIOLOGY

Counterfactual Choice and Learning in a Neural Network Centered on Human Lateral Frontopolar Cortex

(2011) Erie D. Boorman et al.   PLOS BIOLOGY

Neural mechanisms of observational learning

(2010) C. J. Burke et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Instructional control of reinforcement learning: A behavioral and neurocomputational investigation

(2009) Bradley B. Doll et al.   BRAIN RESEARCH

Brain Hemispheres Selectively Track the Expected Value of Contralateral Options

(2009) S. Palminteri et al.   JOURNAL OF NEUROSCIENCE

How Green Is the Grass on the Other Side? Frontopolar Cortex and the Evidence in Favor of Alternative Courses of Action

(2009) Erie D. Boorman et al.   NEURON

Reinforcement Learning or Active Inference?

(2009) Karl J. Friston et al.   PLoS One

The description–experience gap in risky choice

(2009) Ralph Hertwig et al.   TRENDS IN COGNITIVE SCIENCES

A framework for studying the neurobiology of value-based decision making

(2008) Antonio Rangel et al.   NATURE REVIEWS NEUROSCIENCE