UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Human pavlovian-instrumental transfer

Talmi, D; Seymour, B; Dayan, P; Dolan, RJ; (2008) Human pavlovian-instrumental transfer. J NEUROSCI , 28 (2) 360 - 368. 10.1523/JNEUROSCI.4028-07.2008. Gold open access

Abstract

The vigor with which a participant performs actions that produce valuable outcomes is subject to a complex set of motivational influences. Many of these are believed to involve the amygdala and the nucleus accumbens, which act as an interface between limbic and motor systems. One prominent class of influences is called pavlovian-instrumental transfer ( PIT), in which the motivational characteristics of a predictor influence the vigor of an action with respect to which it is formally completely independent. We provide a demonstration of behavioral PIT in humans, with an audiovisual predictor of the noncontingent delivery of money inducing participants to perform more avidly an action involving squeezing a handgrip to earn money. Furthermore, using functional magnetic resonance imaging, we show that this enhanced motivation was associated with a trial-by-trial correlation with the blood oxygenation level-dependent ( BOLD) signal in the nucleus accumbens and a subject-by-subject correlation with the BOLD signal in the amygdala. Our data dovetails well with the animal literature and sheds light on the neural control of vigor.

Type:Article
Title:Human pavlovian-instrumental transfer
Open access status:An open access publication
DOI:10.1523/JNEUROSCI.4028-07.2008
Publisher version:http://ukpmc.ac.uk/abstract/MED/18184778
Keywords:motivation, learning, reward, pavlovian conditioning, reinforcement, decision, NUCLEUS-ACCUMBENS CORE, CONDITIONED SUPPRESSION, REINFORCER DEVALUATION, DOUBLE DISSOCIATION, AMYGDALA LESIONS, MUSCLE TENSION, HEART-RATE, MOTIVATION, STIMULUS, BEHAVIOR
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology > Imaging Neuroscience
UCL > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neuroscience Unit

Archive Staff Only: edit this record