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 of visual perception

L Borello, M Ferraro, P Penengo

    Biological Cybernetics
    |January 1, 1981
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel visual perception model using positive feedback to replicate neural pattern stimuli. The model accurately reproduces visual patterns as neural activity, validated through simulations.

    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

    Irreversible Thermalization vs Reversible Dynamics Mediated by Anomalous Correlators: Wave Turbulence Theory and Experiments in Optical Fibers.

    Physical review letters·2026
    Same author

    Subtotal petrosectomy in cochlear implantation: Gruppo Otologico experience after 348 cases.

    European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·2025
    Same author

    Concatenation of Kerr solitary waves in ceramic YAG: application to coherent Raman imaging.

    Optics letters·2025
    Same author

    Evaluation of interleukin-18 levels in patients affected by multiple myeloma and monoclonal gammopathy of undetermined significance: analysis and review of the literature.

    European review for medical and pharmacological sciences·2024
    Same author

    Continuous spatial self-cleaning in GRIN multimode fiber for self-referenced multiplex CARS imaging.

    Optics express·2022
    Same author

    Thermalization of Orbital Angular Momentum Beams in Multimode Optical Fibers.

    Physical review letters·2022
    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

    Area of Science:

    • Neuroscience
    • Computational Vision
    • Artificial Intelligence

    Background:

    • Understanding visual perception mechanisms is crucial for advancing computational models.
    • Existing models may not fully capture the dynamic feedback processes in neural pattern recognition.

    Purpose of the Study:

    • To propose and validate a computational model of visual perception.
    • To demonstrate the role of positive feedback in reproducing neural pattern stimuli.

    Main Methods:

    • Developing a model incorporating positive feedback mechanisms.
    • Utilizing spatial derivatives of visual patterns as input.
    • Simulating the model with various input patterns.

    Main Results:

    Related Experiment Videos

  • The proposed model successfully reproduces the pattern stimulus on a neuron's screen.
  • Neuron screen electric activity corresponds to the visual pattern reproduction.
  • Simulations confirmed the model's ability to replicate perceived patterns.

    • Conclusions:

    • Positive feedback is a key mechanism in visual pattern reproduction within neural networks.
    • The model provides a viable framework for understanding and simulating visual perception.
    • This research contributes to the fields of computational neuroscience and artificial vision.