Linked Life Data

10537107

Source:http://linkedlifedata.com/resource/pubmed/id/10537107

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6754
pubmed:dateCreated
1999-11-2
pubmed:abstractText
Our two eyes obtain slightly different views of the world. The resulting differences in the two retinal images, called binocular disparities, provide us with a stereoscopic sense of depth. The primary visual cortex (V1) contains neurons that are selective for the disparity of individual elements in an image, but this information must be further analysed to complete the stereoscopic process. Here we apply the psychophysical technique of reverse correlation to investigate disparity processing in human vision. Observers viewed binocular random-dot patterns, with 'signal' dots in a specific depth plane plus 'noise' dots with randomly assigned disparities. By examining the correlation between the observers' ability to detect the plane and the particular sample of 'noise' disparities presented on each trial, we revealed detection 'filters', whose disparity selectivity was remarkably similar to that of individual neurons in monkey V1. Moreover, if the noise dots were of opposite contrast in the two eyes, the tuning inverted, just like the response patterns of V1 neurons. Reverse correlation appears to probe disparity processing at the earliest stages of binocular combination, prior to the generation of a full stereoscopic depth percept.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0028-0836
pubmed:author
pubmed:issnType
Print
pubmed:day
14
pubmed:volume
401
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
695-8
pubmed:dateRevised
2010-8-25
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Probing the human stereoscopic system with reverse correlation.
pubmed:affiliation
University Laboratory of Physiology, Oxford, UK. peter.neri@physiol.ox.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't