New insights into holonomic brain theory: implications for active consciousness

Abstract

This pioneering research on how specific molecules deep inside our brains form a dynamic information holarchy in phase space, linking mind and consciousness, is not only provocative but also 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. The unitary nature of consciousness being 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 through informational channels 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 contains a multiscalar informational structure decoded by intermittency spikes in the fluctuations of the negentropically-derived quantum potential. It is therefore, a more realistic approach than the platonic models in phase space.

Untitled

“…At present, rudimentary motor skill tasks can be decoded by a brain-machine interface. The development of a future brain-machine interface that can augment the intermittency spikes associated with the consciousness code (Poznanski et al, 2022;Alemdar et al, 2023) at various temporal scales. This will require advanced EEG technology with a highfrequency brain activity measurement device called "dodecanogram" (Singh et al, 2024).…”

“…The concept of 'meaning' could suggest that consciousness is evolving into intentional action that is meaningful at the relevant functional scale. Each 'meaning' is differentiated through a unique 'consciousness code' (Alemdar et al, 2023). The 'meanings' are noncontextual but convey negentropically derived quantum potential energy through a negentropic force.…”

“…The argument that comes from self-referentiality itself is the process of how the nonlocal becomes local. It is not probabilistic as evolving probability distributions as statistical manifolds for quantification of uncertainty but a chaotic process (Poznanski et al, 2022;Alemdar et al, 2023).…”

“…The precognitive process entails understanding uncertainty through informational channels instead of recognizing (cf. introspection) sensory information through perceptual channels (Alemdar et al, 2023). The "act" here connotes the underlying experience of acting.…”

‘Quantum of information’ functionality as a measure of subjectivity beyond the capabilities of deep learning

“…Consciousness does not require an associate or perceptual memory. It works via different informational channels (Alemdar et al, 2023). Consciousness runs in different information channels from perception and cognition, as explored in empirical findings on blindsight.…”