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

Pulse modulation detection in human motion vision

H P Snippe1, P Werkhoven

  • 1Department of Psychology, New York University, NY 10003.

Vision Research
|March 1, 1993
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

Simulating human cones from mid-mesopic up to high-photopic luminances.

Journal of vision·2007
Same author

Dynamics of nonlinear feedback control.

Neural computation·2007
Same author

Phototransduction in primate cones and blowfly photoreceptors: different mechanisms, different algorithms, similar response.

Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology·2005
Same author

Asymmetric dynamics of adaptation after onset and offset of flicker.

Journal of vision·2004
Same author

Recovery from contrast adaptation matches ideal-observer predictions.

Journal of the Optical Society of America. A, Optics, image science, and vision·2003
Same author

Information theoretical evaluation of parametric models of gain control in blowfly photoreceptor cells.

Vision research·2001
Same journal

Impact of crowding on visual appearance and performance in amblyopia.

Vision research·2026
Same journal

Editorial for VSI Amblyopia: Advances in Amblyopia Research.

Vision research·2026
Same journal

Computational and mathematical models in vision: Quantitative approaches to understanding visual perception.

Vision research·2026
Same journal

Complex interactions between lightness, chroma, and hue in color ensemble perception.

Vision research·2026
Same journal

Driving with autism spectrum disorder: Exploring the impact of tactile hazard warnings on gaze behavior and hazard responses.

Vision research·2026
Same journal

Early visual processing in adults with ADHD: evidence from contrast sensitivity, spatial integration, and external noise.

Vision research·2026
See all related articles

Human visual perception of speed changes relies on temporal pulse modulations. Detection thresholds follow Bloch

Area of Science:

  • Visual Neuroscience
  • Perception Psychology

Background:

  • Understanding human visual sensitivity to dynamic visual stimuli is crucial for fields like virtual reality and autonomous driving.
  • Temporal modulations in target velocity significantly impact visual perception, but the precise mechanisms remain under investigation.

Purpose of the Study:

  • To quantify human sensitivity to temporal pulse modulations in target velocity.
  • To investigate the influence of pulse duration and temporal frequency on speed modulation detection thresholds.
  • To develop a computational model explaining the observed detection mechanisms.

Main Methods:

  • Measured threshold detection modulation amplitudes for pulse-shaped speed modulations.
  • Systematically varied pulse duration and temporal frequency.

Related Experiment Videos

  • Proposed and tested a two-stage model involving low-pass filtering and variance detection.
  • Main Results:

    • At short pulse durations (≤50 ms) and low frequencies (1 Hz), detection followed Bloch's law, indicating a constant position modulation of 3 arc minutes.
    • Deviations from Bloch's law were observed at longer pulse durations.
    • Speed modulation thresholds showed minimal dependence on target luminance contrast.

    Conclusions:

    • Human visual system processes speed modulations via a two-stage mechanism: initial low-pass filtering (time constant 20-25 ms) followed by variance detection.
    • The model accurately predicts detection thresholds based on pulse duration and density.
    • Findings provide insights into the temporal dynamics of visual motion perception.