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 …
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
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 …
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 …
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
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 …
estimation (ALE) and parametric voxel-based meta-analyses (PVM) on 142 neuroimaging …
Contextual modulation of value signals in reward and punishment learning
Compared with reward seeking, punishment avoidance learning is less clearly understood
at both the computational and neurobiological levels. Here we demonstrate, using …
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 …
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
Hard-wired, Pavlovian, responses elicited by predictions of rewards and punishments exert
significant benevolent and malevolent influences over instrumentally-appropriate actions …
significant benevolent and malevolent influences over instrumentally-appropriate actions …
Impaired reward prediction error encoding and striatal-midbrain connectivity in depression
Anhedonia (hyposensitivity to rewards) and negative bias (hypersensitivity to punishments)
are core features of major depressive disorder (MDD), which could stem from abnormal …
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 …
aberrant attribution of incentive salience and contribute to the emergence of …
[HTML][HTML] Striatal dysfunction during reversal learning in unmedicated schizophrenia patients
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 …
early as their first episode. The neurobiological basis of this deficit is unknown. We obtained …