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

Inducing features from visual noise.

Andrew L Cohen1, Richard M Shiffrin, Jason M Gold

  • 1Department of Psychology, University of Massachusetts, Amherst, MA 01003-7710, USA. acohen@psych.umass.edu

Journal of Vision
|August 10, 2007
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

Keeping an Open Mind About (and With) Psychedelics.

Biological psychiatry·2026
Same author

Brief Online Resources for Teaching Neuroscience: Impact on Attitudes, Stigma, and Clinical Practice Among Mental Health Professionals.

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry·2026
Same author

Implementation and evaluation of the Y-Check comprehensive adolescent health check-up intervention in Zimbabwe: a pre-post mixed-methods study.

Nature medicine·2026
Same author

Canadian Psychiatry Human Resource Planning: Delphi-Method Study of Academic Chairs of Psychiatry of Canada: Planification des ressources humaines en psychiatrie au Canada : étude menée à l'aide des méthodes Delphi auprès des chefs de département de psychiatrie au Canada.

Canadian journal of psychiatry. Revue canadienne de psychiatrie·2026
Same author

The Distinguished Dozen: 2025 Journal of Adolescent Health Articles Making Distinguished Contributions to Adolescent and Young Adult Health.

The Journal of adolescent health : official publication of the Society for Adolescent Medicine·2026
Same author

Artificial Intelligence and the Public Health Workforce-Preparing for Our Future.

Journal of public health management and practice : JPHMP·2025
Same journal

Analysis of human visual experience data.

Journal of vision·2026
Same journal

Pyramid-based Bayesian modeling for high-resolution behavioral analysis.

Journal of vision·2026
Same journal

Sensation without perception: The white whale effect and perceptual blindness in autonomous vehicles.

Journal of vision·2026
Same journal

Gaze behavior during closed-captioned movie viewing adapts to absent audio through more frequent switching between text and scene.

Journal of vision·2026
Same journal

In pursuit of saccade awareness: Limited volitional control and minimal conscious access to catch-up saccades during smooth pursuit eye movements.

Journal of vision·2026
Same journal

Dissociable effects of element-lifetime and stimulus-duration on local and global motion processing: An equivalent noise study.

Journal of vision·2026
See all related articles

Researchers developed new methods to identify key object parts used in visual recognition. Statistical machine learning helps uncover how humans perceive visual objects by analyzing their component features.

Area of Science:

  • Cognitive Science
  • Computer Vision
  • Psychology

Background:

  • Visual object recognition is crucial for human interaction.
  • Understanding the features humans use is key to artificial intelligence.

Purpose of the Study:

  • To develop novel experimental and mathematical techniques.
  • To identify the specific features used in human visual object recognition.

Main Methods:

  • Utilized statistical machine learning.
  • Applied new experimental and mathematical approaches.

Main Results:

  • Identified component parts treated as unitary wholes in object recognition.
  • Demonstrated how feature values influence perception.

Related Experiment Videos

Conclusions:

  • New techniques effectively uncover features in visual object recognition.
  • Advances in machine learning aid in understanding human visual perception.