Linked Life Data

19907352

Source:http://linkedlifedata.com/resource/pubmed/id/19907352

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
18
pubmed:dateCreated
2009-11-26
pubmed:abstractText
One can infer an artist's identity from his or her artworks, but little is known about the neural representation of such elusive categorization. Here, we constructed a 'neural art appraiser' based on machine-learning methods that predicted the painter from the functional MRI activity pattern elicited by a painting. We found that Dali's and Picasso's artworks could be accurately classified based on brain activity alone, and that broadly distributed brain activity contributed to the neural prediction. Our approach provides a new means to probe into complex neural processes underlying art experiences.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1473-558X
pubmed:author
pubmed:issnType
Electronic
pubmed:day
9
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1630-3
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Neural art appraisal of painter: Dali or Picasso?
pubmed:affiliation
Comprehensive Human Sciences, University of Tsukuba, Ibaraki, Japan.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't