Jove
Visualize
Contact Us

Related Experiment Videos

Modelling spatial vision at the threshold level.

J M du Buf1

  • 1Signal Processing Laboratory, Swiss Federal Institute of Technology, Lausanne.

Spatial Vision
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Brightness versus apparent contrast. 1: Incremental and decremental disks with varying diameter.

Spatial vision·1992
Same author

Abstract processes in texture discrimination.

Spatial vision·1992
Same author

Brightness versus apparent contrast. 2: Large-field asymmetry.

Spatial vision·1992
Same author

Brightness versus apparent contrast. 3: Blurred disks and concentric cosine gratings.

Spatial vision·1992
Same author

Detection symmetry and asymmetry.

Spatial vision·1991
Same journal

Comment on 'angle illusion on a picture's surface' by Hammad et al. (2008).

Spatial vision·2009
Same journal

Feature-based attentional modulation increases with stimulus separation in divided-attention tasks.

Spatial vision·2009
Same journal

Spatial distance between target and irrelevant patch modulates detection in a texture segmentation task.

Spatial vision·2009
Same journal

Inhibition related impairments of coherent motion perception in the attention-induced motion blindness paradigm.

Spatial vision·2009
Same journal

Recognition units in reading: backward masking experiments.

Spatial vision·2009
Same journal

Spatial-temporal modeling of interactive image interpretation.

Spatial vision·2009
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Simple multichannel models predict grating thresholds but fail for disks. Incorporating spatial probability summation improves disk predictions but requires further model extensions for accurate quantitative results in visual perception research.

Area of Science:

  • Visual perception
  • Computational neuroscience
  • Psychophysics

Background:

  • Existing multichannel models offer insights into visual processing.
  • Understanding visual thresholds for different stimuli is crucial for refining these models.

Purpose of the Study:

  • To evaluate multichannel models' ability to predict visual thresholds.
  • To investigate the role of spatial probability summation in visual perception models.
  • To explore model extensions for improved accuracy.

Main Methods:

  • Reviewing single- and multiple-channel models.
  • Generalizing multichannel models and testing against threshold data.
  • Incorporating global or local spatial probability summation.

Related Experiment Videos

Main Results:

  • Simple multichannel models accurately predict sinewave grating thresholds.
  • These models fail to predict threshold curves for disk-shaped stimuli.
  • Spatial probability summation improves disk predictions but quantitative accuracy remains limited for disks and noise gratings.

Conclusions:

  • Multichannel models require spatial probability summation for accurate predictions of complex stimuli.
  • Further model extensions are necessary to match empirical data for disks and noise gratings.
  • Investigating local summation and hierarchical channel structures (retina to cortex) may enhance model performance.