Engine for cerebral development

    Research output: Contribution to journalArticle

    12 Citations (Scopus)

    Abstract

    A deterministic theoretical model that simulates the developmental process of the human brain is proposed. Observations of the development of the human brain with a high-speed camera show that the bones of the skull become increasingly larger over the neck, and that a lot of soup-like fluid for generating brain cells enters the skull from the body. This process is essentially similar to the intake process of an internal combustion engine, because the volume of the engine's cylinder, which increases according to the descent of the piston, geometrically corresponds to the development of the skull, and also because the human neck resembles the intake port that serves as the throat of the engine. A higher-order numerical computation of the Navier-Stokes equation reveals the similarity between the convexoconcave forms inside the brain and the flow structure in the internal combustion engine. We will show that the present computation also simulates the emergence of the eyeballs. Finally, we will clarify the reason why cerebral development is strongly influenced by fluid dynamics.

    Original languageEnglish
    Pages (from-to)18-21
    Number of pages4
    JournalArtificial Life and Robotics
    Volume13
    Issue number1
    DOIs
    Publication statusPublished - 2008

    Fingerprint

    Brain
    Skull
    Engines
    Internal combustion engines
    Neck
    High speed cameras
    Human Development
    Hydrodynamics
    Flow structure
    Engine cylinders
    Pharynx
    Fluid dynamics
    Pistons
    Navier Stokes equations
    Bone
    Theoretical Models
    Bone and Bones
    Fluids

    Keywords

    • Brain shape
    • Engine
    • Eyeball
    • Fluid dynamics
    • Morphogenesis

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Biochemistry, Genetics and Molecular Biology(all)

    Cite this

    Engine for cerebral development. / Naitoh, Ken.

    In: Artificial Life and Robotics, Vol. 13, No. 1, 2008, p. 18-21.

    Research output: Contribution to journalArticle

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