Linked Life Data

15190354

Source:http://linkedlifedata.com/resource/pubmed/id/15190354

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6992
pubmed:dateCreated
2004-6-10
pubmed:abstractText
The ability to use environmental stimuli to predict impending harm is critical for survival. Such predictions should be available as early as they are reliable. In pavlovian conditioning, chains of successively earlier predictors are studied in terms of higher-order relationships, and have inspired computational theories such as temporal difference learning. However, there is at present no adequate neurobiological account of how this learning occurs. Here, in a functional magnetic resonance imaging (fMRI) study of higher-order aversive conditioning, we describe a key computational strategy that humans use to learn predictions about pain. We show that neural activity in the ventral striatum and the anterior insula displays a marked correspondence to the signals for sequential learning predicted by temporal difference models. This result reveals a flexible aversive learning process ideally suited to the changing and uncertain nature of real-world environments. Taken with existing data on reward learning, our results suggest a critical role for the ventral striatum in integrating complex appetitive and aversive predictions to coordinate behaviour.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1476-4687
pubmed:author
pubmed:issnType
Electronic
pubmed:day
10
pubmed:volume
429
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
664-7
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Temporal difference models describe higher-order learning in humans.
pubmed:affiliation
Wellcome Department of Imaging Neuroscience, 12 Queen Square, London WC1N 3BG, UK. bseymour@fil.ion.ucl.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't