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

Temporal dynamics of binocular disparity processing with corticogeniculate interactions.

Stephen Grossbe1, Alexander Grunewald

  • 1Department of Cognitive and Neural Systems, Center for Adaptive Systems, Boston University, MA 02215, USA. steve@bu.edu

Neural Networks : the Official Journal of the International Neural Network Society
|May 23, 2002
PubMed
Summary

A new neural model reveals how corticogeniculate feedback aids binocular vision dynamics. This feedback helps the brain correctly process changing visual stimuli and fuse images, crucial for depth perception.

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

Online drug pricing tools deserve more attention.

Journal of managed care pharmacy : JMCP·2011
Same author

The integration of multiple stimulus features by V1 neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2004
Same author

Motion repulsion is monocular.

Vision research·2004
Same author

Neural correlates of structure-from-motion perception in macaque V1 and MT.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2002

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Vision Science

Background:

  • Binocular vision relies on processing visual information from both eyes.
  • Corticogeniculate feedback pathways play a role in visual processing, but their specific contribution to dynamic binocular vision is not fully understood.

Purpose of the Study:

  • To develop and investigate a neural model that simulates the role of corticogeniculate feedback in the dynamics of binocular vision.
  • To explain psychophysical and neurobiological data related to binocular disparity processing using this model.

Main Methods:

  • A neural network model incorporating feedforward and feedback connections between retinal, lateral geniculate nucleus (LGN), and cortical cells was developed.
  • The model simulated responses to dynamic stimuli to test its ability to replicate key aspects of binocular vision.

Related Experiment Videos

Main Results:

  • The model successfully reproduced phenomena such as accurate disparity registration with changing stimuli, binocular summation of weak signals, and fusion of anticorrelated stimuli under specific delay conditions.
  • The model's mechanism relies on dynamic rebounds between ON and OFF cells, modulated by habituative transmitter gates.

Conclusions:

  • Corticogeniculate feedback facilitates a top-down matching process essential for dynamic binocular vision.
  • This feedback mechanism inhibits erroneous disparity signals and mitigates the persistence of outdated visual information, improving visual stability during dynamic displays.