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

Neural recoding in human pattern vision: model and mechanisms.

L A Olzak1, J P Thomas

  • 1Department of Psychology, University of California, Los Angeles 90095-1563, USA. olzakla@muohio.edu

Vision Research
|May 18, 1999
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

Evidence for the Collective Nature of Radial Flow in Pb+Pb Collisions with the ATLAS Detector.

Physical review letters·2026
Same author

Evidence for the Dimuon Decay of the Higgs Boson in pp Collisions with the ATLAS Detector.

Physical review letters·2025
Same author

Evidence for Longitudinally Polarized W Bosons in the Electroweak Production of Same-Sign W Boson Pairs in Association with Two Jets in pp Collisions at sqrt[s]=13  TeV with the ATLAS Detector.

Physical review letters·2025
Same author

Observation of tt[over ¯] Production in Pb+Pb Collisions at sqrt[s_{NN}]=5.02  TeV with the ATLAS Detector.

Physical review letters·2025
Same author

Search for Dark Matter Produced in Association with a Dark Higgs Boson in the bb[over ¯] Final State Using pp Collisions at sqrt[s]=13  TeV with the ATLAS Detector.

Physical review letters·2025
Same author

Search for Magnetic Monopole Pair Production in Ultraperipheral Pb+Pb Collisions at sqrt[s_{NN}]=5.36  TeV with the ATLAS Detector at the LHC.

Physical review letters·2025
Same journal

Editorial for VSI Amblyopia: Advances in Amblyopia Research.

Vision research·2026
Same journal

Computational and mathematical models in vision: Quantitative approaches to understanding visual perception.

Vision research·2026
Same journal

Complex interactions between lightness, chroma, and hue in color ensemble perception.

Vision research·2026
Same journal

Driving with autism spectrum disorder: Exploring the impact of tactile hazard warnings on gaze behavior and hazard responses.

Vision research·2026
Same journal

Early visual processing in adults with ADHD: evidence from contrast sensitivity, spatial integration, and external noise.

Vision research·2026
Same journal

Pupil reflexes generate the peripheral drift illusion due to ON/OFF motion responses.

Vision research·2026
See all related articles

This study presents a neural recoding model for spatial vision, explaining how visual information is processed for fine spatial discriminations. The model successfully accounts for existing psychophysical data and predicts new experimental outcomes.

Area of Science:

  • Neuroscience
  • Computational Vision
  • Psychophysics

Background:

  • Neural recoding is crucial for processing spatial visual information.
  • Understanding how visual cortex (VI) cell outputs are combined is key to spatial discrimination.

Purpose of the Study:

  • To model neural recoding in spatial vision, linking VI cell outputs to psychophysical behavior.
  • To explain how stimulus attributes are signaled through normalization and combination mechanisms.
  • To investigate mechanisms for orientation and texture discrimination.

Main Methods:

  • Developed a computational model of neural recoding in spatial vision.
  • Utilized masking and cue summation experiments to isolate processing stages.
  • Analyzed psychophysical discrimination data to estimate model parameters and test formulations.

Related Experiment Videos

Main Results:

  • Identified two complementary higher-level mechanisms: one for orientation summation, another for texture grain summation.
  • The model successfully accounts for a substantial body of previously published spatial discrimination data.
  • New quantitative tests confirmed the model's predictive accuracy.

Conclusions:

  • The proposed model provides a framework for understanding neural recoding in spatial vision.
  • The findings elucidate the mechanisms underlying fine spatial discriminations, including orientation and texture perception.
  • The model offers a tool for empirical estimation of parameters and testing alternative theories in visual processing.