1. Hypothesis of Cyclic Structures of Pre- and Consciousness as a Transition in Neuron-like Graphs to a Special Type of Symmetry
- Author
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Sergei Kupreev and Ivan Stepanyan
- Subjects
neural systems ,neural modeling ,statistical kinetic methods ,Erdös-Renyi growing random graphs ,percolation transition ,special type of symmetry ,graph cluster ,cyclic structures ,Euler’s characteristic ,structure of consciousness ,Quantitative Biology::Neurons and Cognition ,Physics and Astronomy (miscellaneous) ,Chemistry (miscellaneous) ,General Mathematics ,Computer Science (miscellaneous) - Abstract
We study the proposed statistical kinetic model for describing the pre- and consciousness structures based on the cognitive neural networks. The method of statistics of the growth graph systems and a possible transition to symmetric structures (a kind of phase transition) is applied. With the complication of a random Erdőos-Rényi (ER) graph during the percolation transition from the tree structure to the large cluster structures is obtained. In the evolutionary model two classes of algorithms have been developed. The differences between the cycle parameters in the obtained neural network models can reach thousands or more times. This is due to the tree-like architecture of the neural graph, which mimics the columnar structures of the neocortex. These cluster and cyclic structures can be interpreted as the primary elements of consciousness and as a necessary condition for the effect of consciousness itself. The comparison with other known theoretical mainly statistical models of consciousness is discussed. The presented results are promising in neurocomputer interfaces, man-machine systems and artificial intelligence systems.
- Published
- 2022
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