Accelerated-Learning-Online.com - helping you learn faster
Home | Contact Us
Search Site:
 
Home
Learning State
Learning Process
Memory Techniques
Learning Styles
Learning Approach
Learning Challenges
Other Resources
Research Articles
Brain News
Contact Us

Research article summary:

Minimum displacement thresholds for binocular three-dimensional motion.

Abstract Extract:
Thresholds for the detection of motion in depth in the median plane of the head are substantially poorer than those for motion in the frontoparallel plane. This suggests the existence of two independent mechanisms for their detection. Any ... (Full abstract text below)

Published 2002Mar in Journal: Vision Res (Language : eng)

Full Pubmed Extract

This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:

1. Vision Res. 2002 Mar;42(6):715-24

Minimum displacement thresholds for binocular three-dimensional motion.

Sumnall JH, Harris JM

Department of Psychology, Ridley Building, University of Newcastle, Necastle upon Tyne NE1 7RU, UK. sumnalljh@cardiff.ac.uk

Thresholds for the detection of motion in depth in the median plane of the head are substantially poorer than those for motion in the frontoparallel plane. This suggests the existence of two independent mechanisms for their detection. Any three-dimensional (3-D) motion can be decomposed into components of motion in the frontoparallel plane and in the median plane of the head. Can human performance for the detection and discrimination of other 3-D motions be predicted by a combination of responses from the two independent mechanisms? Minimum displacement thresholds (d(min)) for the detection of 3-D motion and the direction discrimination of 3-D motion were measured for a wide range of 3-D directions. d(min) data were modelled in terms of the probability summation of a pair of independent motion mechanisms, one responding to motion in the median plane of the head, the second to motion in the frontoparallel plane. Detection of 3-D motion was well predicted by probability summation across a range of 3-D directions. Direction discrimination of 3-D motion was similarly well fit by the probability summation model for multiframe motion displays for some observers. However for two-frame motion displays, direction discrimination for 3-D motion was best fit by a model using only a motion mechanism in the frontoparallel plane. Detection and direction discrimination thresholds for 3-D motion can therefore be explained on the basis of one or two mechanisms, sensitive to motion in the frontoparallel plane and in the median plane of the head.

PMID : 11888537 [PubMed - Indexed for MEDLINE]


This information is obtained from the National Library of Medicine (NLM). Abstract text and other information may be subject to copyright. Type "NLM copyright" into Google for more information.

Full Author Information

First NameLastNameInitials
Jane HSumnallJH
Julie MHarrisJM

Affiliation: Department of Psychology, Ridley Building, University of Newcastle, Necastle upon Tyne NE1 7RU, UK. sumnalljh@cardiff.ac.uk

3rd Party provider links

Click the links below to go to related 3rd party information:

MESH categories and related page links

This article was linked to the MESH categories shown on the left below. The links on the right are related Memletics pages.

Category links from this article:

  • Depth Perception - physiology
  • Discrimination (Psychology)
  • Female
  • Humans
  • Models, Psychological
  • Motion Perception - physiology
  • Photic Stimulation - methods
  • Psychophysics
  • Sensory Thresholds
  • Vision, Binocular - physiology
   

Related Memletics topics:

Links for this article

For links to places where you can get the full text of this article see links. Note there may be a subscription or fee required for access to the full text.

New! Using similar technology to this site, we have launched find-health-articles.com, targeting over 1 million health research article abstracts.

Related Articles

Here are some articles related to this one (by title keywords):

Keywords in this article:

across, basis, best, combination, components, data, decomposed, depth, detection, dimensional, direction, directions, discrimination, displacement, displays, existence, explained, fit, frontoparallel, head, human, independent, measured, mechanisms, median, minimum, modelled, motion, motions, multiframe, observers, only, other, pair, performance, plane, poorer, predicted, probability, range, responding, responses, second, sensitive, similarly, substantially, suggests, summation, terms, three, thresholds, two, well, wide

Also, see our new free speed reading online course (beta version)

© Advanogy.com 2003-2007 - All rights reserved. Terms of Use | Privacy Statement | Contact Us