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

Reverse-Hebb plasticity leads to optimization and association in a simulated visual cortex.

R E Soodak1

  • 1Rockefeller University, New York, NY 10021.

Visual Neuroscience
|May 1, 1991
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

Simulation of visual cortex development under lid-suture conditions: enhancement of response specificity by a reverse-Hebb rule in the absence of spatially patterned input.

Biological cybernetics·1994
Same author

Directional selectivity and spatiotemporal structure of receptive fields of simple cells in cat striate cortex.

Journal of neurophysiology·1991
Same author

Fine structure of receptive-field centers of X and Y cells of the cat.

Visual neuroscience·1991
Same author

The accessory optic system of rabbit. I. Basic visual response properties.

Journal of neurophysiology·1988
Same author

The accessory optic system of rabbit. II. Spatial organization of direction selectivity.

Journal of neurophysiology·1988
Same author

The accessory optic system. Analyzer of self-motion.

Annals of the New York Academy of Sciences·1988
Same journal

Support for the efficient coding account of visual discomfort.

Visual neuroscience·2024
Same journal

Visual Field Asymmetries in Responses to ON and OFF Pathway Biasing Stimuli.

Visual neuroscience·2024
Same journal

Pattern reversal chromatic VEPs like onsets, are unaffected by attentional demand.

Visual neuroscience·2024
Same journal

The interaction between luminance polarity grouping and symmetry axes on the ERP responses to symmetry.

Visual neuroscience·2024
Same journal

Electroretinographic responses to periodic stimuli in primates and the relevance for visual perception and for clinical studies.

Visual neuroscience·2024
Same journal

Synaptotagmin-9 in mouse retina.

Visual neuroscience·2024
See all related articles

A reverse-Hebb synaptic modification rule optimizes visual cortex development and eye-specific representations in simulations. This novel approach enhances neural tuning and maintains stable learning, improving visual processing in simulated brains.

Area of Science:

  • Computational Neuroscience
  • Neuroscience
  • Artificial Intelligence

Background:

  • Experience-dependent plasticity shapes neural circuits, particularly the visual cortex.
  • Standard Hebbian learning rules, based on correlated activity, are well-studied.
  • The role of synaptic modification phase in neural development is less understood.

Purpose of the Study:

  • Investigate the impact of a variable-phase synaptic modification rule on simulated visual cortex development.
  • Analyze how this rule affects neural tuning and interocular association.
  • Determine the stability of optimized representations under prolonged learning.

Main Methods:

  • Simulated a visual cortex using a modified Hebbian learning rule.
  • Varied the phase parameter of synaptic modification, including standard Hebbian (0 deg) and reverse-Hebb (180 deg) conditions.

Related Experiment Videos

  • Assessed optimization of orientation tuning and association of representations from both eyes.

    • Main Results:

    • A reverse-Hebb synaptic modification rule (180 deg phase) effectively optimized cortical representations for orientation.
    • This rule successfully associated identical stimuli presented to either eye, creating unified cortical maps.
    • The reverse-Hebb rule demonstrated significant stability, preserving optimized states over extended learning periods.

    Conclusions:

    • Synaptic modification rules with specific phase parameters, like the reverse-Hebb condition, are crucial for efficient and stable visual cortex development.
    • The reverse-Hebb rule offers a robust mechanism for achieving optimal neural tuning and interocular visual representation.
    • This finding has implications for understanding biological learning and developing advanced artificial neural networks.