Jove
Visualize
Contact Us
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

Related Experiment Videos

Lower-level visual processing and models of light adaptation

D C Hood1

  • 1Department of Psychology, Columbia University, New York, New York 10027, USA. don@psych.columbia.edu

Annual Review of Psychology
|March 13, 1998
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

Retinal ganglion cell and inner plexiform layer thickness measurements in regions of severe visual field sensitivity loss in patients with glaucoma.

Eye (London, England)·2012
Same author

Blue (S) cone pathway vulnerability: a test of a fragile receptor hypothesis.

Applied optics·2010
Same author

Foveal sensitivity changes in retinitis pigmentosa.

Applied optics·2010
Same author

Eccentricity-dependent changes in local onset and offset responses in patients with progressive cone dystrophy.

Vision research·2007
Same author

Retinal nerve fibre thickness measured with optical coherence tomography accurately detects confirmed glaucomatous damage.

The British journal of ophthalmology·2007
Same author

Structural and functional assessment of the macular region in patients with glaucoma.

The British journal of ophthalmology·2006
Same journal

Implicit Bias: Evolution of a Powerful Idea.

Annual review of psychology·2026
Same journal

Introduction.

Annual review of psychology·2026
Same journal

Social Robotics Is Not (Just) About Machines, It Is About People: Psychology's Role in Developing Social Machines.

Annual review of psychology·2025
Same journal

Intensive Longitudinal Methods: Toward a Psychological Science of Daily Life.

Annual review of psychology·2025
Same journal

Human Rationality.

Annual review of psychology·2025
Same journal

Space to Act, Think, and Create.

Annual review of psychology·2025
See all related articles

This study proposes a framework for modeling lower-level visual processing by integrating ganglion cell function with minimal visual cortex assumptions. This approach aims to better predict basic behavioral data from retinal processing.

Area of Science:

  • Neuroscience
  • Computational Vision
  • Psychophysics

Background:

  • Historically, understanding the link between visual perception and retinal physiology predates formal psychology.
  • Current models face uncertainty in predicting basic behavioral data (lower-level processing) solely from retinal processing.

Purpose of the Study:

  • Propose a general framework for developing models of lower-level visual processing.
  • Integrate current knowledge of ganglion cell function into these models.
  • Develop a testable model of ganglion cell function as a core component.

Main Methods:

  • Review basic behavioral and physiological descriptions of light adaptation.
  • Discuss recent attempts to model lower-level visual processing.
  • Combine a testable model of ganglion cell function with minimal assumptions about visual cortex involvement.

Related Experiment Videos

Main Results:

  • A framework is presented for creating models of lower-level visual processing.
  • The proposed model emphasizes the inclusion of testable ganglion cell function.
  • This model, with minimal visual cortex assumptions, forms a basis for lower-level processing models.

Conclusions:

  • Knowledge of ganglion cell function is sufficiently advanced to be modeled.
  • A model incorporating ganglion cell function offers a path to better predict visual perception from retinal processing.
  • The framework provides a foundation for future research in computational vision and psychophysics.