Mind Science

   

Metasystem-Synergetic Approach to the Architectural and "Platform" Organization of the Brain's Neural Network

Authors: Grigory L. Lupu

The brain is considered as having several homologous meta-levels of organization (neuron substructures, neurons, microcolons, cortical macromodules, "classical" nerve centers, analyzers, the central nervous system of individuals ...), each of which, in its characteristic time range, is arranged and operates as a learning neural network (from the "details" of the previous level of organization) - hierarchical synergetic crystal; on the basis of which various levels are classified: neurostructures, "stages of memory" and their duration, types of higher nervous activity, levels of the psyche and self, and levels of organization of various aspects and manifestations of functioning of neurostructures — an analogue of the "periodic table" for neuroscience. The specificity of the intelligent brain is that it is a system controlled by an auto-interacting process of internal self-observation as such. The architectural-systemic aspect of the brain and psyche, as well as the physical-cybernetic nature of the subjective-psychic are considered.

Мозг рассматривается как имеющий несколько гомологичных метауровней организации (субструктуры нейрона, нейроны, микроколонки, кортикальные макромодули, "классические" нервные центры, анализаторы, ЦНС индивидов...), каждый из которых в своём диапазоне характеристического времени устроена и работает как обучающаяся нейронная сеть (из "деталей" предыдущего уровня организации) - иерархический синергокристалл; на основании чего классифицированы различные уровни: нейроструктур, "этапов памяти" и их длительности, видов ВНД, уровней психики и "я", и уровней организации различных аспектов и проявлений функционирования нейроструктур — аналог "таблицы Менделеева" для нейронаук. Рассмотрены архитектурно-системный аспект мозга и психики, а также физико-кибернетическая природа субъективно-психического.

Comments: 17 Pages. In Russian

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Submission history

[v1] 2022-09-22 01:49:31
[v2] 2023-05-30 03:37:09

Unique-IP document downloads: 436 times

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