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The Journal of Multiscale

Neuroscience

(JMN) announces

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Quantum Paradigms of

Psychopathology (QPP)

E. Alemdar, R. R. Poznanski, L.A. Cacha, Leisman and E. J. Brändas (2023). New insights into holonomic brain theory: implications for active consciousness. Journal of Multiscale Neuroscience 2(1), 159-169. https://doi.org/10.56280

Abstract

This pioneering research on how specific molecules inside our brains form a dynamic information holarchy in phase space, linking mind and consciousness, is provocative and revolutionary. Holonomic is a dynamic encapsulation of the holonic view that originates from the word “holon” and designates a holarchical rather than a hierarchical, dynamic brain organization to encompass multiscale effects in nonecludean space. The unitary nature of consciousness as interconnected stems from a multiscalar organization of the brain. We aim to give a holonomic modification of the thermodynamic approach to the problem of consciousness using spatiotemporal intermittency. Starting with quasiparticles as the minimalist material composition of the dynamical brain where interferences patterns between incoherent waves of quasiparticles and their quantum-thermal fluctuations constrain the kinetic internal energy of endogenous molecules resulting in an informational structure that is coded in the intermittent spikes of the negentropically-derived quantum potential. This indicates that brains are not multifractal involving avalanches but are multiscalar, suggesting that unlike the hologram, where the functional interactions occur in the spectral domain, the spatiotemporal binding is multiscalar because of self-referential amplification occurring via long-range correlative information. The associated negentropic entanglement permeates the unification of the functional information architecture across multiple scales. As such, the holonomic brain theory is suitable for active consciousness, proving that consciousness is not fundamental. The holonomic model of the brain’s internal space is nonmetric and nonfractal, it does not need to use Fourier analysis to decode informational structure, but intermittency spikes due to multiscalar effects of the holonomic brain and is, therefore, a more realistic approach to the platonic models in phase space.

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