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 Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Properties of Fourier series II01:21

Properties of Fourier series II

Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The temporal visuogram in ocular hypertension and its progression to glaucoma.

Journal of glaucoma·2009
Same author

Digital filtering and robust regression techniques for estimating sensory thresholds from the evoked potential.

IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society·2009
Same author

Independent components in stimulus-related BOLD signals and estimation of the underlying neural responses.

Brain research·2008
Same author

A survey of filamentous organisms at the Deer Island treatment plant.

Environmental technology·2003
Same author

Modular organization of adaptive colouration in flounder and cuttlefish revealed by independent component analysis.

Network (Bristol, England)·2003
Same author

Stereoprocessing of cyclopean depth images: horizontally elongated summation fields.

Vision research·2001
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

Related Experiment Video

Updated: Jun 29, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

The symmetry magnification function varies with detection task.

C W Tyler1

  • 1Smith-Kettlewell Eye Research Institute, San Francisco, CA, USA. cwt@ski.org

Journal of Vision
|April 8, 2003
PubMed
Summary
This summary is machine-generated.

Human visual perception of symmetry is robust across the retina. Static symmetry detection is faster than dynamic symmetry detection, suggesting different neural processing mechanisms.

More Related Videos

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management
10:23

A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

Published on: June 23, 2023

Related Experiment Videos

Last Updated: Jun 29, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management
10:23

A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

Published on: June 23, 2023

Area of Science:

  • Visual neuroscience
  • Perception psychology

Background:

  • Bilateral symmetry detection is crucial for object recognition.
  • Understanding retinal processing of symmetry informs visual system models.

Purpose of the Study:

  • Investigate bilateral symmetry detection at varying retinal eccentricities.
  • Differentiate processing of static versus dynamic symmetry.
  • Characterize spatial summation for symmetry perception.

Main Methods:

  • Measured duration thresholds for static and dynamic symmetry detection.
  • Assessed spatial summation width using randomized noise.
  • Tested stimuli at different retinal eccentricities.

Main Results:

  • Symmetry detection sensitivity was high and stable across eccentricities.
  • Dynamic symmetry detection (100 ms) was slower than static (40 ms).
  • Static symmetry showed reverse magnification: wider summation centrally for long durations.

Conclusions:

  • Static and dynamic symmetry detection involve distinct neural mechanisms.
  • These mechanisms exhibit retinal invariance, unlike other spatial processing.
  • Symmetry processing may differ significantly from other visual functions.