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 non-linear processing in cat's retina

R Moreno-Díaz, E Rubio

    Biological Cybernetics
    |January 1, 1980
    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

    A review of <i>Hyphodiscaceae</i>.

    Studies in mycology·2023
    Same author

    Carriage of multidrug-resistant Gram-negative bacilli: duration and risk factors.

    European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology·2023
    Same author

    [2022 Practice guidelines for the management of arterial hypertension of the Spanish Society of Hypertension].

    Hipertension y riesgo vascular·2022
    Same author

    2021 Spanish Society of Hypertension position statement about telemedicine.

    Hipertension y riesgo vascular·2021
    Same author

    Fungal Planet description sheets: 1042-1111.

    Persoonia·2020
    Same author

    Fungal Planet description sheets: 868-950.

    Persoonia·2019
    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

    This study presents a computational model of cat retinal ganglion cells, revealing that non-linear lateral interactions in the inner plexiform layer explain complex cell responses. The model successfully replicates various non-linearities observed in retinal ganglion cell activity.

    Area of Science:

    • Neuroscience
    • Computational Biology
    • Vision Science

    Background:

    • Retinal ganglion cells exhibit complex, non-linear responses.
    • The inner plexiform layer is crucial for visual processing.
    • Understanding these non-linearities is key to deciphering visual information.

    Purpose of the Study:

    • To develop a computational model explaining non-linearities in cat retinal ganglion cell responses.
    • To investigate the role of lateral interactions in the inner plexiform layer.
    • To provide a general expression for retinal cell response.

    Main Methods:

    • A computational model incorporating spatio-temporal signals and lateral linear inhibition followed by half-wave rectification.
    • Mathematical formulation of lateral interaction processes within the inner plexiform layer.

    Related Experiment Videos

  • Analysis of the model's output against known retinal ganglion cell response types.

    • Main Results:

    • The model accounts for most non-linearities and specializations in cat retinal ganglion cell responses.
    • It successfully replicates various known non-linear response types, including specialized cells.
    • The model simplifies to linear models under conditions of negligible lateral interaction.

    Conclusions:

    • Non-linear lateral interactions in the inner plexiform layer are fundamental to retinal ganglion cell specialization.
    • The proposed model offers a unified framework for understanding visual processing in the cat retina.
    • This work provides insights into the functional roles of anatomical units in retinal processing.