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

The role of complex cells in object recognition.

Ladan Shams1, Christoph von der Malsburg

  • 1Division of Biology, California Institute of Technology, MC 139-74, Pasadena, CA 91125, USA. ladan@caltech.edu

Vision Research
|November 26, 2002
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

The Cooperative Network Architecture: Learning Structured Networks as Representation of Sensory Patterns.

Neural computation·2026
Same author

Crossmodal interaction of flashes and beeps across time and number follows Bayesian causal inference.

Psychonomic bulletin & review·2026
Same author

Correction: Quintero et al. Changing the Tendency to Integrate the Senses. <i>Brain Sci.</i> 2022, <i>12</i>, 1384.

Brain sciences·2024
Same author

How are segmentation and binding computed and represented in the brain?

Cognitive processing·2024
Same author

BCI Toolbox: An open-source python package for the Bayesian causal inference model.

PLoS computational biology·2024
Same author

The overlooked role of unisensory precision in multisensory research.

Current biology : CB·2024

Complex cells in the primate visual cortex (V1) are phase-insensitive, yet their population responses effectively represent image information. This representation aids in object identification and offers robustness to environmental variations.

Area of Science:

  • Neuroscience
  • Computational Vision
  • Visual Perception

Background:

  • Primate primary visual cortex (V1) predominantly features complex cells.
  • Complex cells' spatial phase insensitivity poses a challenge for image perception theories.
  • Spatial phase is typically considered crucial for image characterization and recognition.

Purpose of the Study:

  • To investigate the information content within complex cell responses.
  • To reconcile the apparent paradox of phase-insensitive cells dominating V1.
  • To evaluate the utility of complex cell representations for visual tasks.

Main Methods:

  • Modeling complex cells using Gabor wavelet magnitudes.
  • Mathematical analysis of information content in complex cell responses.

Related Experiment Videos

  • Empirical examination of population responses.

    • Main Results:

    • Despite individual phase insensitivity, complex cell populations retain essential image information.
    • Population responses are sufficient for capturing the perceptual essence of images.
    • Complex cell representations are effective for object identification.

    Conclusions:

    • The dominance of complex cells in V1 is justified by their robust representational capabilities.
    • Complex cell representations offer inherent advantages in handling background, lighting, and deformation variations.
    • Population coding by phase-insensitive complex cells supports robust visual recognition.