Linked Life Data

16649710

Source:http://linkedlifedata.com/resource/pubmed/id/16649710

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2006-5-2
pubmed:abstractText
Experience and perception are deeply intertwined. Experience, particularly early in life, shapes how sensory information is represented in the brain. Experience also establishes associations and can affect how sensory information guides behaviour. Central to these kinds of perceptual abilities are neural mechanisms that interpret, or decode, the brain's sensory representation, but little is known about how these decoding mechanisms depend on experience. Here I discuss several critical roles that experience might play in shaping these mechanisms. First, experience is likely to drive changes in neural connectivity to select the spatially and temporally distributed sensory signals that provide relevant information about a stimulus. Second, even the most relevant sensory signals provide incomplete information about the presence of a stimulus; also necessary is knowledge of the a priori probability of the stimulus, which must be learned from experience. Third, decoding noisy information is necessarily imperfect and therefore involves trade-offs like speed versus accuracy and false alarms versus misses. Experience is likely to provide ongoing feedback about the value of these trade-offs so that they might be adjusted appropriately. Each of these mechanisms appear to be capable of causing dramatic changes in sensitivity, response bias, response times and other manifestations of perceptual ability.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1528-2511
pubmed:author
pubmed:issnType
Print
pubmed:volume
270
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
92-101; discussion 101-13
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Multiple roles of experience in decoding the neural representation of sensory stimuli.
pubmed:affiliation
University of Pennsylvania Department of Neuroscience, Philadelphia, PA 19104, USA.
pubmed:publicationType
Journal Article, Review