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

Cell structure and function in the visual cortex of the cat.

J P Kelly, D C Van Essen

    The Journal of Physiology
    |May 1, 1974
    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

    Interoperable atlases of the human brain.

    NeuroImage·2014
    Same author

    A weighted and directed interareal connectivity matrix for macaque cerebral cortex.

    Cerebral cortex (New York, N.Y. : 1991)·2012
    Same author

    The Human Connectome Project: a data acquisition perspective.

    NeuroImage·2012
    Same author

    Some behavioural and neurochemical effects of ipsapirone in two rodent models of depression.

    Journal of psychopharmacology (Oxford, England)·2012
    Same author

    Effects of chronic desipramine on waiting behaviour for a food reward in olfactory bulbectomized rats.

    Journal of psychopharmacology (Oxford, England)·2012
    Same author

    The future of the human connectome.

    NeuroImage·2012
    Same journal

    Diving exposure and pulmonary stress.

    The Journal of physiology·2026
    Same journal

    Systems modelling of mitochondrial dynamics in different exercise regimes.

    The Journal of physiology·2026
    Same journal

    Central leptin resistance precedes obesity and drives early endocrine dysfunction.

    The Journal of physiology·2026
    Same journal

    Decoding the molecular memory of obesity using machine learning and microRNA dynamics.

    The Journal of physiology·2026
    Same journal

    Kinematic-calcium loops unravel impaired excitation-contraction coupling in MELAS-affected cardioids.

    The Journal of physiology·2026
    Same journal

    hERG1 channels and potential therapeutics for long QT syndrome.

    The Journal of physiology·2026
    See all related articles

    Researchers linked visual cortex cell structure and function using Procion yellow dye. They found correlations between cell types (stellate, pyramidal) and their visual receptive field properties (simple, complex, hypercomplex).

    Area of Science:

    • Neuroscience
    • Visual Neuroscience
    • Cellular Neuroscience

    Background:

    • The visual cortex processes visual information, with distinct neuronal types and functional properties.
    • Understanding the relationship between neuronal morphology and function is crucial for deciphering neural circuits.

    Purpose of the Study:

    • To investigate the correlation between the physiological properties and morphological types of individual neurons in the cat's visual cortex.
    • To classify neuronal receptive fields and link them to specific cell structures.

    Main Methods:

    • Intracellular recording using micro-electrodes filled with Procion yellow dye to study individual neurons in area 17 of the cat's visual cortex.
    • Classification of neuronal receptive fields as simple, complex, or hypercomplex.

    Related Experiment Videos

  • Iontophoretic injection of dye for intracellular staining and morphological analysis.
  • Comparison of stained neurons with Golgi preparations.

    • Main Results:

    • Fifty neurons were successfully analyzed, revealing correlations between cell morphology and function.
    • Simple neurons were predominantly stellate cells, while complex and hypercomplex neurons were mainly pyramidal cells.
    • Specific layers showed concentrations of different cell types: simple cells in layer IV, hypercomplex in layer II+III, and complex in layers II+III, V, and VI.
    • Glial cells were identified, showing slow depolarizations and orientation preferences.

    Conclusions:

    • A clear, though not absolute, correlation exists between major structural and functional classes of visual cortex cells.
    • This combined physiological and morphological approach enhances understanding of the cerebral cortex's organization.
    • The findings provide insights into how neuronal structure relates to visual processing in the cortex.