Classical-neural and quantum-holographic informatics: Psychosomatic-cognitive implications

Abstract

Modeling of psychosomatic-cognitive functions is considered, in the framework of combined hierarchical brain's and body's acupuncture neural networks. It is pointed out that presented models of brain's hierarchical neural networks demonstrate encourageing advances in modeling cognitive functions. However, for modeling most cognitive and psychosomatic functions, the subtle biophysical quantumholographic microwave Hopfield body's acupuncture neural networks are also necessary. On the one hand, they demonstrate existance of two cognitive modes of consciousness, and on the other hand, they represent natural framework for explaining contemporary meridian (psycho)therapies for very fast removing of psychosomatic disorders, demonstrating close relationship between acupuncture system and consciousnesswith significant psychosomatic and transpersonal implications.Keywords-Brain's hierarchical neural networks; body's acupuncture quantum-holographic neural networks; meridian (psycho)therapies; cognitive and psychosomatic implications.

On Macroscopic Quantum Phenomena in Biomolecules and Cells: From Levinthal to Hopfield

“…Such a generalized bioinformational framework of Haken's multilevel synergetic neural network representing corresponding intracellular and extracellular biochemical reactions is in line with trends of modeling hierarchical information processing in higher cognitive processes [44] and might also provide possible missing downward causation control mechanism of morphogenesis and psychosomatics [41, 42, 50–52]. However, it should be noted that conditions for the above resemblance between quantum ensemble prediction of our DM and HQHNN frameworks are fulfilled near thermodynamic equilibrium (while predicted very nonstationary conformational transitions , induced by strong environmental interactions within the decoherence model (cf.…”

“…the Appendix) generally allows reproduction of both existence and stability of the (stationary) conformations and the short time scales for the quantum mechanical processes resulting effectively in (nonstationary) conformational transitions under external influences on the complementary environmental solution. This approach might also be applied to (nonstationary) mismatching-to-matching quantum mechanical conformational transitions in selective ligand-proteins/target-receptors key/lock biomolecular recognition processes under external (e.g., compositional/chemical, thermal/optical...) influences on the cell's complementary cytoplasmatic environment [36, 37, 41, 42]. …”

“…On the other hand, within an open biological cell, a system of (noninteracting and dynamically noncoupled) N k proteins identical in their primary chemical structure (and their biomolecular targets) might be considered as corresponding global spatial quantum ensemble of N k identical biomolecular processors, providing a spatially distributed quantum solution to corresponding single local biomolecular chain folding (and key-lock recognition process)—whose time-adapting density of conformational states ${\stackrel{⌢}{\mathrm{bold-italic\rho }}}_{S_k}^{k}false(tfalse)$ might be represented as global cell's Hopfield-like quantum-holographic associative neural network too [41, 42] (cf. Figure 2 and its figure caption for further explanation).…”

Network Theory of Living Cell Clusters and Rheological Applications at Nano-Level

“…In the theory are also considered very serious difficulties in quantitative description of cell cluster behavior using micromechanics and rheology. In literature it is explained by changes of cell interactions and relations in space with proliferation, grow and self-assembling of clusters [1][2][3][4][32][33][34][35]. But, in derived relations of the theory proposed a significant number of such difficulties is eliminated by appropriate averaging over cluster sub -systems in space and time.…”

“…and making such intercellular network connections as described. The silent aspect of such organization is cell-cell signaling mechanism that can be understood also as a kind of informational network been dual to described polymer (connectivity) networks [2][3][4].…”