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Simultaneous order in nervous nets from a functional standpoint.

J J Koenderink

    Biological Cybernetics
    |January 1, 1984
    PubMed
    Summary
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    This study reveals that the functional organization of nervous systems, not spatial layouts, defines their abstract machine properties. Objective neural orders emerge from signal correlations, independent of external observation.

    Area of Science:

    • Neuroscience
    • Computational Neuroscience
    • Systems Neuroscience

    Background:

    • External observation of nervous systems focuses on spatial features like receptive fields and somatotopic maps.
    • Many observed spatial features lack functional relevance for the organism as an abstract machine.
    • Abstract machines prioritize functional relations over spatial ones.

    Purpose of the Study:

    • To demonstrate how objective neural orders can be constructed from purely functional relations.
    • To reframe the understanding of sensory modalities and their cohesion based on functional principles.
    • To establish that features like visual field dimensionality are inherent in signal processing, not just observer descriptions.

    Main Methods:

    • Analysis of cross-correlations between neural signals.

    Related Experiment Videos

  • Construction of a simultaneous order of neural elements based on functional relations.
  • Theoretical modeling of abstract machine properties in neural systems.

    • Main Results:

    • A method is presented to derive an objective neural order from signal cross-correlations.
    • This derived order is inherent to the abstract machine, not dependent on external viewpoints.
    • Functional relations provide an objective basis for understanding sensory modalities and their structure.

    Conclusions:

    • Sensory modalities and their properties (e.g., visual field dimensionality) are objectively defined by the functional (cross-correlation) structure of neural signals.
    • The abstract machine's organization is best understood through functional relations, not just spatial arrangements.
    • This functional approach offers a more fundamental understanding of neural system organization.