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

A model for processing of movement in the visual system.

H Gafni, Y Y Zeevi

    Biological Cybernetics
    |March 19, 1979
    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

    Multidimensional gain control in image representation and processing in vision.

    Biological cybernetics·2014
    Same author

    Bihemifield visual stimulation reveals reduced lateral bias in dyslexia.

    Annals of dyslexia·2013
    Same author

    Applications of limited-extent waves: an introduction.

    Applied optics·2010
    Same author

    Natural signal classification by neural cliques and phase-locked attractors.

    Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference·2007
    Same author

    Multichannel wavelet-type decomposition of evoked potentials: model-based recognition of generator activity.

    Medical & biological engineering & computing·1997
    Same author

    The farthest point strategy for progressive image sampling.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1997
    Same journal

    Harmonic memory in phasor neural networks.

    Biological cybernetics·2026
    Same journal

    Correction: Decreased spinal inhibition leads to undiversified locomotor patterns.

    Biological cybernetics·2026
    Same journal

    Foundational issues of network models in biology.

    Biological cybernetics·2026
    Same journal

    Dynamical mechanisms for coordinating long-term working memory based on the precision of spike-timing in cortical neurons.

    Biological cybernetics·2026
    Same journal

    Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles.

    Biological cybernetics·2026
    Same journal

    Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise.

    Biological cybernetics·2026
    See all related articles

    Human visual system processing of spatio-temporal information is complex. This study proposes a model where velocity-information extraction channels are formed by summing signals, aiding pattern recognition and velocity perception.

    Area of Science:

    • Neuroscience
    • Visual Perception
    • Computational Neuroscience

    Background:

    • Human visual system processing of spatio-temporal information remains incompletely understood.
    • Existing theories on sustained and transient channels at the retinal level are insufficient due to overlapping temporal characteristics.
    • Separation of visual information for pattern recognition and velocity perception is necessary at higher processing levels.

    Purpose of the Study:

    • To extend a model of spatio-temporal frequency expansion in the visual system.
    • To demonstrate the formation of exclusive velocity-information extraction channels.
    • To investigate the relationship between these channels and cortical neuron characteristics.

    Main Methods:

    • Extension of the Gafni and Zeevi (1977) three-dimensional spatio-temporal frequency expansion model.

    Related Experiment Videos

  • Utilizing simple summation of signals from defined sets of frequency-space channels.
  • Analyzing the formation of channels sensitive exclusively to direction and velocity.

    • Main Results:

    • Velocity-information extraction channels can be formed by summing signals from specific frequency-space channels.
    • These channels are exclusively sensitive to direction and velocity.
    • The proposed mechanism offers a way to achieve the necessary separation of visual information.

    Conclusions:

    • The model successfully demonstrates how velocity-information extraction channels can emerge through signal summation.
    • This provides a potential explanation for how the visual system separates velocity information.
    • The findings suggest a correspondence between these model channels and cortical neuron properties.