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Computational maps in the brain.

E I Knudsen, S du Lac, S D Esterly

    Annual Review of Neuroscience
    |January 1, 1987
    PubMed
    Summary
    This summary is machine-generated.

    Computational maps in the nervous system process biologically important information using arrays of neurons. These maps enable rapid, parallel processing and efficient information coding through place-coded activity.

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    Area of Science:

    • Neuroscience
    • Computational Neuroscience
    • Sensory Processing

    Background:

    • The nervous system processes biologically relevant information through computations.
    • Some computations are organized into neural maps, where neighboring neurons systematically vary in tuning.
    • These maps transform information into a place-coded probability distribution, highlighting computed parameter values.

    Purpose of the Study:

    • To explore the nature and advantages of computational maps in neural information processing.
    • To understand how neural maps represent and process sensory and motor information.
    • To highlight the efficiency and precision offered by topographic coding in the brain.

    Main Methods:

    • Review and synthesis of existing research on computational maps across sensory and motor systems.

    Related Experiment Videos

  • Analysis of the structure and function of auditory maps, particularly the auditory map of space.
  • Examination of neuronal tuning properties within computational maps.

    • Main Results:

    • Numerous computational maps exist, including visual, auditory, and motor maps.
    • Auditory spatial mapping involves parallel processing of interaural cues.
    • Neuronal tuning is broad, with precise information encoded by peak activity locations.

    Conclusions:

    • Computational maps offer advantages such as rapid parallel processing and simplified connectivity.
    • They provide a unified representation for integrating information from different computations.
    • Maps facilitate sharpening of neuronal tuning, enhancing information precision.