Архитектура аппарата мышления человека

Part 1.

Within the ESGTRV framework, the method of thinking is not a computational process localized in individual neurons or aimed exclusively at signal processing, but rather the result of the operation of a processor-based, multiprocessor, distributed, full-duplex decision-making system. This system is hereinafter referred to as the Decision-Making Apparatus.

The physical carrier of the Decision-Making Apparatus consists of neural structures forming a multiprocessor distributed architecture for information processing.

The physical substrate of neuronal ensembles and their structural connections is a unified neural network. It is this neural architecture that forms the long-term structural basis for information storage, the connections between sensory templates and emotional states, as well as the capacity for activation of distributed patterns.

In this model, glia is not a passive supporting tissue providing merely metabolic support to neurons. It represents a wave channel between the neural network and the organism.

On the one hand, glia physically interacts with the neural system by receiving electromagnetic components of neuronal ensemble activity. On the other hand, the openness of glial cells for analyzing nutrient components is determined by the standing-wave potential formed within them, as well as by the availability of these resources from the arterial system, regulated by the Decision-Making Apparatus through axonal mechanisms controlling arterioles, thereby ensuring targeted energetic preparation of the corresponding neuronal ensembles.

It is precisely within this glial wave channel that a standing wave is formed and circulates, simultaneously serving as a key element in controlling neuronal nutrition through oscillatory processes modulated by the Decision-Making Apparatus.

The standing wave is not a passive background phenomenon. It represents the current command-information control state of the wave channel, ensuring the operation of the Decision-Making Apparatus.

Within standing waves, simultaneously observable and interacting are electromagnetic components, the activity of neuronal aggregates, corresponding sensory models, maintenance of persistent states, models of intellectual transformations, current intentions, and other active system states.

Thus, the standing wave acts as a universal integrative mechanism ensuring the functioning of the nervous system and the organism as a whole.

The Decision-Making Apparatus performs sequential-parallel information processing, since it represents a universal multiprocessor architecture whose processing characteristics are determined by the current operational mode.

The current characteristics of standing waves, formed by active ensembles together with targeted control from the Decision-Making Apparatus, constitute a directional query determining which neuronal ensembles may enter into resonant response and produce a structural reaction for further processing.

Glia, by regulating the vascular-metabolic availability of resources, forms the energetic reliability of neurons and their ensembles.

The Decision-Making Apparatus operates as a universal cyclic mechanism capable of functioning in various algorithmic modes, including polling, recording, learning, consolidation, recombination, and other information-processing modes.

In accordance with this general operating principle, only the nature of targeted control and response processing changes.

The resonant response enters the wave channel, where further self-organizing processing occurs in accordance with the current algorithmic operating mode of the Decision-Making Apparatus.

The resulting output, in the form of a synthesized emotional schema—a resultant vector forming intention—is returned to the Decision-Making Apparatus.

Thus, the Decision-Making Apparatus functions as a cyclic multiprocessor information-processing mechanism.

In this model, neuronal ensembles represent distributed structural memory distinctions.

It is fundamentally important that complex templates are not localized in a single location.

Any complex memory object is realized as a spatially distributed ensemble of neurons.

A template of a material object is not stored as a local “file,” but rather as a distributed extension of spatially distributed neuronal ensembles within the boundaries of dendritic architecture, without forming a linear continuous chain, and unified by a common field-resonant configuration.

If the corresponding ensemble is brought into a state of energetic support, activation of even a small fragment of it is capable of initiating an avalanche-like self-assembly of the entire scheme at the field level.

This is holographic-type memory, where partial activation is sufficient to restore the integrity of the object representation.

Thus, in ESGTRV, thinking is not a linear sequential computation occurring in individual neurons, but a cyclic multiprocessor process of sequential-parallel processing that generates electromagnetic force activity.

Part 2

For understanding the mechanisms of thinking within this model, it is fundamentally important to distinguish templates and emotions as different ontological entities, although physically they are implemented on the same neural substrate.

A template represents an active structural configuration of an object, state, process, or possible scenario, capable of initiating emotional and cognitive processing and of changing through creative processes.

Templates may be formed both on the basis of sensory perception and on the basis of previously established configurations reduced from the genotype—genetic memory.

A template in itself does not contain evaluative-emotional criteria.

In this model, emotion is considered the result of bringing a template into correspondence with genomic goal-orientation. This is a criterial transformation of the structural representation of a template into a force-based evaluative configuration.

In other words, the same template formed within the sensory architecture of the system, when brought into correspondence with genomic goal-orientation, may generate an individual emotion formed on the basis of genotypic predisposition, modified by the supragenotype through changes in the spatial organization of chromosomes and the mutation-related possibilities associated with this, as well as by previously accumulated knowledge, phenotype, and genovin.

Thus, template and emotion represent different forms of information belonging to different functional processing entities.

Consciousness has no direct access to emotion as such. Consciousness does not “see” emotion itself as an internal entity, but interacts only with the active template accompanied by its physiological emotional manifestations, through which only the following are accessible:

• the sign of correspondence to genomic goal-orientation;

• the intensity (energy cost) of physiological activation as an indicator of the significance of the emotion;

• the accompanying neuroactivity, represented as spatiotemporal vectors of the force field having direction, scalar magnitude, and temporal oscillatory characteristics.

Subjective experience is the conscious interpretation of these manifestations, not the emotion itself.

A crucial part of the architecture of the Decision-Making Apparatus is determined by genomic reduction, while its resonant capabilities are defined by the supragenotypic component of this reduction.

The developing knowledge architecture within the neural network, serving as the informational basis for the arguments of the Decision-Making Apparatus, does not arise in the nervous system from zero.

The foundational part of templates and their associated emotional configurations is formed during the creation of the neuroarchitecture as a reduced continuation of the genotype and supragenotype, taking into account the developing phenotype and early environmental influences.

This means that the initial neuroarchitecture of the nervous system preserves resonant correspondence with the genome. It is precisely this initial resonant foundation that forms the original knowledge base of the system.

The vector summation of simultaneously active emotional neurofield configurations forms the resultant vector of the system—intention—which serves as one of the arguments for the Decision-Making Apparatus.

As knowledge accumulates and adaptation to the environment progresses, structural reorganization of the nervous system alters its resonant correspondence with the genome, thereby increasing the organism’s adaptive fit to the environment and its chances of survival.

However, at the same time, as the nervous system undergoes structural reorganization, a mismatch arises between its physical resonances and the genome.

There exists a rational range for such transfer, within which information transmitted from the nervous system into the genotype of the gamete remains adequate and functionally purposeful.

Knowledge acquired by the nervous system and transformed during sleep into a form suitable for genetic storage may be transferred into the genotype of the gamete only within this rational range.

Exceeding these limits leads to the loss of the organism’s functional purposefulness as a carrier of genotype development, natural disturbances in homeostatic regulation, aging of the organism, and the termination of its жизнедеятельности.

The Decision-Making Apparatus, in this understanding, is not a neutral computational device. It always operates within a system of criteria defined by genomic goal-orientation.

Within this model, criterial emotional configurations may relate both to physiological mechanisms ensuring the life activity of the genotype and to rational criterial configurations associated with the recognition of purposeful structures of Mind.

Within ESGTRV, several fundamentally different modes of criterial selection are distinguished, two of which are primary.

In the first case, the system operates within the physiological criteria of the genotype. In this case, criterial selection is directed toward survival, adaptation, reproduction, resource stability, and continuation of the genotype—animal life activity.

In the second case, a mode of the rational Decision-Making Apparatus becomes possible, in which criterial selection is determined by the dominance of emotions of Mind (Fibonacci forms).

In this mode, the system is oriented not only toward physiological adaptation but also toward rational purposefulness. In this case, the life activity of a Carrier of Mind—a Human—emerges.

And the higher the regenerative capacity of the Decision-Making Apparatus with respect to emotions of Mind containing Fibonacci proportions, the more rational the realizations produced by the Human, and consequently, the higher the level of intelligence as a quality of rational thinking.

Moreover, the presence of resonant properties in the Decision-Making Apparatus with respect to rational emotions may generate qualitatively different specializations of cognitive activity, enabling a division of rational labor:

• cognition;

• design;

• implementation.

Physically, there exist:

• template configurations;

• emotional configurations;

• physiologically realized connections between them.

A template is connected with a group of emotional configurations, and emotional configurations are connected with multiple templates, together forming the knowledge base.

Consequently, knowledge is not formed as a separate isolated entity, but is physiologically realized through connectivity configurations.

In the process of cognition, these connections may be reorganized: templates may become linked with new emotional configurations, and emotional configurations with new templates, forming new knowledge structures.

If a template activated by the sensory system corresponds to a previously formed template in the knowledge base, its resonant activation occurs.

After this, excitation propagates through existing physiological dendritic connections and activates the associated emotional configurations participating in emotional synthesis.

The emotional response arises as the actualization of the corresponding emotional configurations associated with the specific template.

Knowledge may also be stored in external information carriers, provided their physical form is structurally compatible with the decoding mechanisms of the Decision-Making Apparatus.

In the external environment, knowledge is preserved not as an abstract entity, but as a physically organized structure capable of initiating the reconstruction of corresponding emotional-template configurations in the Decision-Making Apparatus.

The repositories of emotional knowledge may include symbols and other physical structures systematized by reason—sounds, images, and other forms of matter organization possessing their own internal oscillatory organization, forming an objectively emotionally significant structural complex capable of rational resonant decoding by the Decision-Making Apparatus.

During such resonant decoding, the Decision-Making Apparatus activates foundational emotional configurations and their associated template structures, including genomically reduced foundational constructs, previously formed knowledge, and configurations sequentially acquired during learning, enabling analysis of a new object and the formation of a new emotional-template knowledge structure, including the synthesis of new emotional configurations based on previously existing emotions of a rational nature.

The physical basis of such transfer and consolidation of knowledge is the prolonged stable reproduction of the corresponding standing-wave form within the neuroglial architecture, ensuring restructuring of the nervous system’s connectivity architecture through new dendritic growth.

It is precisely this process that constitutes learning, based on the symbolic system of information storage in the environment.

Thus, knowledge represents a dynamically reproducible, physiologically realized configuration of connectivity architecture, capable both of internal realization within the nervous system and of objectification in the external environment.

Furthermore, when transferring knowledge between Carriers of Mind, translation from one symbolic system to another may become necessary.

Since translation is carried out through the translator’s Decision-Making Apparatus, possessing its own genetic and emotional-criterial orientation, such transfer is inevitably accompanied by modifications of the original knowledge associated with the translator’s emotional and semantic interpretation.

Realized knowledge constitutes the framework of genovin, extending the organism’s genome into the surrounding environment. Genovin serves as the foundation for the self-organization of a fundamentally new Carrier of Mind.

At the same time, objectified knowledge retains the criterial orientation of its genetic origin, since it is formed through the Decision-Making Apparatus of a specific carrier with a specific resolving capacity in relation to the reason of the surrounding environment, based on the number of encoding elements.

Part 3, Part 4, Part 5, Part 6 Эмоционально - супрагенетическая Теория Развития Вселенной" (ЭСГТРВ, ESGTDU, ЭГТР, СГТР) : Архитектура аппарата мышления человека (АПР).

And whats the significance of any of this?
If i wanted to comically simplify everything you wrote, it’d be along the lines of “neurons are not just firing in a linear fashion, they are processing signals back and forth in duplex and convert patterns, etc etc”

And what was your point with all of this? What were you trying to speak for or against?

По поводу того как люди думают. И то что этот процесс может иметь два разных направления: человеский и животный. Это первая часть в Эмоционально - супрагенетическая Теория Развития Вселенной" (ЭСГТРВ, ESGTDU, ЭГТР, СГТР) : Архитектура аппарата мышления человека (АПР). - остальные 5.