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Related Experiment Video

Updated: May 10, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

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Published on: August 1, 2018

Reinterpreting behavioral receptive fields: lightness induction alters visually completed shape.

Brian P Keane1, Hongjing Lu, Thomas V Papathomas

  • 1Center for Cognitive Science, Rutgers University, New Brunswick, Piscataway, New Jersey, USA. Brian.Keane@gmail.com

Plos One
|June 11, 2013
PubMed
Summary
This summary is machine-generated.

Lightness induction influences shape perception by altering visually completed shapes under noisy conditions. Behavioral receptive fields relate to filled-in surfaces, not contours, impacting object perception models.

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Area of Science:

  • Visual perception
  • Computational neuroscience
  • Psychophysics

Background:

  • Classification image (CI) technique reveals static luminance noise impacts discrimination of Kanizsa shapes.
  • Influential noise regions may represent
  • behavioral receptive fields
  • linked to early cortical cell responses in contour completion.

Purpose of the Study:

  • Hypothesize that influential noise regions correspond to key shape-distinguishing surfaces.
  • Investigate if noise contrast polarity matching the filled-in surface color biases shape perception.

Main Methods:

  • Observers discriminated fat and thin noise-embedded rectangles with illusory or luminance-defined contours.
  • Manipulated lightness induction using surrounding elements (inducers).
  • Varied noise placement relative to shape boundaries and tested without enclosing boundaries.

Main Results:

  • Key region noise biased fat responses when its contrast polarity matched the induced surface color for both contour types.
  • Minimized lightness induction or excluded adjacent pixels eliminated noise influence.
  • Lightness effects were absent without enclosing boundaries.

Conclusions:

  • Lightness induction alters visually completed shapes under noisy conditions.
  • Behavioral receptive fields are linked to filled-in surfaces, not contours.
  • Lightness is crucial for 2D shape completion, constraining object perception models.