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Related Experiment Videos

Human luminance pattern-vision mechanisms: masking experiments require a new model

J M Foley1

  • 1Department of Psychology, University of California, Santa Barbara 93106.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|June 1, 1994
PubMed
Summary
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A new model explains visual masking better than existing ones. It shows that broadband divisive inhibition, not linear summation, accurately predicts how visual masking changes with different maskers.

Area of Science:

  • Vision Science
  • Computational Neuroscience
  • Visual Perception

Background:

  • Simultaneous luminance pattern masking is commonly modeled using linear summation and an S-shaped response function.
  • This established model predicts specific horizontal shifts in threshold-versus-masker contrast functions based on masker properties.

Purpose of the Study:

  • To experimentally test the predictions of the standard linear summation model of visual masking.
  • To develop and validate a new model that better accounts for observed masking phenomena.

Main Methods:

  • Experimental manipulation of masker spatial waveforms and the addition of a second masker.
  • Measurement of threshold-versus-masker contrast functions.
  • Comparison of experimental results with predictions from the standard model and a proposed new model.

Related Experiment Videos

Main Results:

  • Experimental data did not support the standard model's predictions regarding horizontal shifts.
  • Masker spatial waveform changes did not result in purely multiplicative shifts.
  • Adding a second masker did not produce purely additive shifts as predicted.

Conclusions:

  • The standard linear summation model of visual masking is inadequate.
  • A novel model incorporating broadband divisive inhibition provides a more accurate explanation for experimental findings.
  • The results suggest divisive inhibition is a key mechanism in simultaneous luminance pattern masking.