The computational roots of positivity and confirmation biases in reinforcement learning

S Palminteri, M Lebreton - Trends in Cognitive Sciences, 2022 - cell.com
Humans do not integrate new information objectively: outcomes carrying a positive affective
value and evidence confirming one's own prior belief are overweighed. Until recently …

[HTML][HTML] The expected value of control: an integrative theory of anterior cingulate cortex function

A Shenhav, MM Botvinick, JD Cohen - Neuron, 2013 - cell.com
The dorsal anterior cingulate cortex (dACC) has a near-ubiquitous presence in the
neuroscience of cognitive control. It has been implicated in a diversity of functions, from …

[HTML][HTML] From the ventral to the dorsal striatum: devolving views of their roles in drug addiction

BJ Everitt, TW Robbins - Neuroscience & Biobehavioral Reviews, 2013 - Elsevier
We revisit our hypothesis that drug addiction can be viewed as the endpoint of a series of
transitions from initial voluntarily drug use to habitual, and ultimately compulsive drug use …

Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies

X Liu, J Hairston, M Schrier, J Fan - Neuroscience & Biobehavioral …, 2011 - Elsevier
To better understand the reward circuitry in human brain, we conducted activation likelihood
estimation (ALE) and parametric voxel-based meta-analyses (PVM) on 142 neuroimaging …

Contextual modulation of value signals in reward and punishment learning

S Palminteri, M Khamassi, M Joffily… - Nature communications, 2015 - nature.com
Compared with reward seeking, punishment avoidance learning is less clearly understood
at both the computational and neurobiological levels. Here we demonstrate, using …

How much of reinforcement learning is working memory, not reinforcement learning? A behavioral, computational, and neurogenetic analysis

AGE Collins, MJ Frank - European Journal of Neuroscience, 2012 - Wiley Online Library
Instrumental learning involves corticostriatal circuitry and the dopaminergic system. This
system is typically modeled in the reinforcement learning (RL) framework by incrementally …

Disentangling the roles of approach, activation and valence in instrumental and pavlovian responding

QJM Huys, R Cools, M Gölzer, E Friedel… - PLoS computational …, 2011 - journals.plos.org
Hard-wired, Pavlovian, responses elicited by predictions of rewards and punishments exert
significant benevolent and malevolent influences over instrumentally-appropriate actions …

Impaired reward prediction error encoding and striatal-midbrain connectivity in depression

P Kumar, F Goer, L Murray, DG Dillon… - …, 2018 - nature.com
Anhedonia (hyposensitivity to rewards) and negative bias (hypersensitivity to punishments)
are core features of major depressive disorder (MDD), which could stem from abnormal …

Dopaminergic dysfunction in schizophrenia: salience attribution revisited

A Heinz, F Schlagenhauf - Schizophrenia bulletin, 2010 - academic.oup.com
A dysregulation of the mesolimbic dopamine system in schizophrenia patients may lead to
aberrant attribution of incentive salience and contribute to the emergence of …

[HTML][HTML] Striatal dysfunction during reversal learning in unmedicated schizophrenia patients

F Schlagenhauf, QJM Huys, L Deserno, MA Rapp… - Neuroimage, 2014 - Elsevier
Subjects with schizophrenia are impaired at reinforcement-driven reversal learning from as
early as their first episode. The neurobiological basis of this deficit is unknown. We obtained …