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

Spatial filtering precedes motion detection.

M J Morgan1

  • 1Department of Pharmacology, University of Edinburgh Medical School, Scotland, UK.

Nature
|January 23, 1992
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

Factors limiting quantitative phase retrieval in atomic-resolution differential phase contrast scanning transmission electron microscopy using a segmented detector.

Ultramicroscopy·2022
Same author

Lagged recovery of fish spatial distributions following a cold-water perturbation.

Scientific reports·2021
Same author

Suppressing dynamical diffraction artefacts in differential phase contrast scanning transmission electron microscopy of long-range electromagnetic fields via precession.

Ultramicroscopy·2020
Same author

High contrast at low dose using a single, defocussed transmission electron micrograph.

Micron (Oxford, England : 1993)·2019
Same author

Robotic vs. laparoscopic ventral mesh rectopexy for external rectal prolapse and rectal intussusception: a systematic review.

Techniques in coloproctology·2019
Same author

Simple Wave-Optical Superpositions as Prime Number Sieves.

Physical review letters·2019
Same journal

Six ways to put the public at the heart of science and policy.

Nature·2026
Same journal

The complex truth about trust in science.

Nature·2026
Same journal

Have people stopped trusting science? The data tell a surprising story.

Nature·2026
Same journal

How FAIR data are helping to build trust in science.

Nature·2026
Same journal

Scientists should recognize their own political biases to build public trust.

Nature·2026
Same journal

Harmonizing standards and resources for the medical genome.

Nature·2026
See all related articles

Early motion detection relies on low-level visual mechanisms. This study reconciles conflicting theories on the maximum displacement (Dmax) detectable in random patterns, linking it to physiological prefiltering and neural receptive fields.

Area of Science:

  • Visual Neuroscience
  • Computational Neuroscience
  • Perception

Background:

  • Perceiving motion requires tracking objects over time to avoid conflicting signals.
  • Previous research suggested motion detectors have limited spatial range, defining a critical displacement value (Dmax).
  • Conflicting findings exist regarding Dmax's dependence on element size and pattern properties.

Purpose of the Study:

  • Reconcile conflicting accounts of the factors determining the maximum displacement value (Dmax).
  • Investigate the role of physiological prefiltering in motion perception.
  • Relate Dmax to the properties of neurons in the visual pathway.

Main Methods:

  • Analysis of motion displacement detection in spatially random patterns.
  • Modeling of physiological prefiltering stages in early visual processing.

Related Experiment Videos

  • Comparison of model predictions with experimental data on Dmax.

    • Main Results:

    • Dmax is determined by element spacing after physiological prefiltering removes fine detail.
    • The required prefilter size matches the receptive field size of primate magnocellular neurons.
    • Removing high spatial frequencies increases Dmax, consistent with the model.

    Conclusions:

    • A unified model explains Dmax based on element spacing and prefiltering.
    • The magnocellular pathway plays a key role in early motion detection.
    • This research simplifies our understanding of how the visual system detects motion.