Linked Life Data

16889471

Source:http://linkedlifedata.com/resource/pubmed/id/16889471

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2006-8-7
pubmed:abstractText
Humans are exquisitely sensitive to changes in relative position. A fundamental and long-standing question is how information for position acuity is integrated along the length of the target, and why visual performance deteriorates when the feature separation increases. To address this question, we used a target made of discrete samples, each subjected to binary positional noise, combined with reverse correlation to estimate the behavioral "receptive field" (template), and a novel 10-pass method to quantify the internal noise that limits position acuity. Our results show that human observers weigh individual parts of the stimulus differently and importantly, that the shape of the template changes markedly with feature separation. Compared to an ideal observer, human performance is limited by a template that becomes less efficient as feature separation increases and by an increase in random internal noise. Although systematic internal noise is thought to be one of the important components limiting detection thresholds, we found that systematic noise is negligible in our position task.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1534-7362
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
311-21
pubmed:dateRevised
2008-4-29
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
The receptive field and internal noise for position acuity change with feature separation.
pubmed:affiliation
School of Optometry and Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, USA. oroger@berkeley.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural