Linked Life Data

18667160

Source:http://linkedlifedata.com/resource/pubmed/id/18667160

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-7-31
pubmed:abstractText
Perceptual inference is biased by foreknowledge about what is probable or possible. How prior expectations are neurally represented during visual perception, however, remains unknown. We used functional magnetic resonance imaging to measure brain activity in humans judging simple visual stimuli. Perceptual decisions were either biased in favor of a single alternative (A/ approximately A decisions) or taken without bias toward either choice (A/B decisions). Extrastriate and anterior temporal lobe regions were more active during A/ approximately A than A/B decisions, suggesting multiple representations of prior expectations within the visual hierarchy. Forward connectivity was increased when expected and observed perception diverged ("prediction error" signals), whereas prior expectations fed backward from higher to lower regions. Finally, the coincidence between expected and observed perception activated orbital prefrontal regions, perhaps reflecting the reinforcement of prior expectations. These data support computational and quantitative models proposing that a visual percept emerges from converging bottom-up and top-down signals.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1097-4199
pubmed:author
pubmed:issnType
Electronic
pubmed:day
31
pubmed:volume
59
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
336-47
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
A neural representation of prior information during perceptual inference.
pubmed:affiliation
Institut National de la Santé et de la Recherche Médicale, Département des Etudes Cognitives, Ecole Normale Supérieure, 29, rue d'Ulm, Paris 75005, France. summerfd@paradox.columbia.edu
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't