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Phenomenological Architecture Of A Mind And Operational Architectonics Of The Brain: The Unified Metastable Continuum

Author

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  • ANDREW A. FINGELKURTS

    (BM-Science — Brain and Mind Technologies Research Centre, P.O. Box 77, FI-02601, Espoo, Finland)

  • ALEXANDER A. FINGELKURTS

    (BM-Science — Brain and Mind Technologies Research Centre, P.O. Box 77, FI-02601, Espoo, Finland)

  • CARLOS F. H. NEVES

    (BM-Science — Brain and Mind Technologies Research Centre, P.O. Box 77, FI-02601, Espoo, Finland)

Abstract

In our contribution we will observe phenomenal architecture of a mind and operational architectonics of the brain and will show their intimate connectedness within a single integrated metastable continuum. The notion of operation of different complexity is the fundamental and central one in bridging the gap between brain and mind: it is precisely by means of this notion that it is possible to identify what at the same time belongs to the phenomenal conscious level and to the neurophysiological level of brain activity organization, and what mediates between them. Implications for linguistic semantics, self-organized distributed computing algorithms, artificial machine consciousness, and diagnosis of dynamic brain diseases will be discussed briefly.

Suggested Citation

  • Andrew A. Fingelkurts & Alexander A. Fingelkurts & Carlos F. H. Neves, 2009. "Phenomenological Architecture Of A Mind And Operational Architectonics Of The Brain: The Unified Metastable Continuum," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 221-244.
    • Handle: RePEc:wsi:nmncxx:v:05:y:2009:i:01:n:s1793005709001258
    DOI: 10.1142/S1793005709001258
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    Cited by:

    1. Fingelkurts, Andrew A. & Fingelkurts, Alexander A. & Neves, Carlos F.H., 2013. "Consciousness as a phenomenon in the operational architectonics of brain organization: Criticality and self-organization considerations," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 13-31.
    2. Pavel Kraikivski, 2022. "A Dynamic Mechanistic Model of Perceptual Binding," Mathematics, MDPI, vol. 10(7), pages 1-12, April.

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