Vicarious trial and error

AD Redish - Nature Reviews Neuroscience, 2016 - nature.com
When rats come to a decision point, they sometimes pause and look back and forth as if
deliberating over the choice; at other times, they proceed as if they have already made their …

Cognitive effort: A neuroeconomic approach

A Westbrook, TS Braver - Cognitive, Affective, & Behavioral Neuroscience, 2015 - Springer
Cognitive effort has been implicated in numerous theories regarding normal and aberrant
behavior and the physiological response to engagement with demanding tasks. Yet, despite …

An opportunity cost model of subjective effort and task performance

R Kurzban, A Duckworth, JW Kable… - Behavioral and brain …, 2013 - cambridge.org
Why does performing certain tasks cause the aversive experience of mental effort and
concomitant deterioration in task performance? One explanation posits a physical resource …

Reinforcement-learning in fronto-striatal circuits

B Averbeck, JP O'Doherty - Neuropsychopharmacology, 2022 - nature.com
We review the current state of knowledge on the computational and neural mechanisms of
reinforcement-learning with a particular focus on fronto-striatal circuits. We divide the …

[HTML][HTML] Model-based influences on humans' choices and striatal prediction errors

ND Daw, SJ Gershman, B Seymour, P Dayan… - Neuron, 2011 - cell.com
The mesostriatal dopamine system is prominently implicated in model-free reinforcement
learning, with fMRI BOLD signals in ventral striatum notably covarying with model-free …

[HTML][HTML] Mood as representation of momentum

E Eldar, RB Rutledge, RJ Dolan, Y Niv - Trends in cognitive sciences, 2016 - cell.com
Experiences affect mood, which in turn affects subsequent experiences. Recent studies
suggest two specific principles. First, mood depends on how recent reward outcomes differ …

From prediction error to incentive salience: mesolimbic computation of reward motivation

KC Berridge - European Journal of neuroscience, 2012 - Wiley Online Library
Reward contains separable psychological components of learning, incentive motivation and
pleasure. Most computational models have focused only on the learning component of …

Emotions as computations

A Emanuel, E Eldar - Neuroscience & Biobehavioral Reviews, 2023 - Elsevier
Emotions ubiquitously impact action, learning, and perception, yet their essence and role
remain widely debated. Computational accounts of emotion aspire to answer these …

[BOEK][B] Reinforcement learning: An introduction

RS Sutton, AG Barto - 1998 - cambridge.org
This book introduces a new approach to the study of systems, living or artificial, that can
learn from experience, and in so doing it indicates a new focus of activity within Artificial …

Serotonergic neurons signal reward and punishment on multiple timescales

JY Cohen, MW Amoroso, N Uchida - Elife, 2015 - elifesciences.org
Serotonin's function in the brain is unclear. One challenge in testing the numerous
hypotheses about serotonin's function has been observing the activity of identified …