Hyperbolic matrions in neurocybernetics, biomechanics and bioinformatics
- 1 Dr.Sc. (Biol.), Ph.D. (Eng.), Leading Research Scientist, Laboratory of Biodynamics, Institute for Machine Science named by A.A. Blagonravov of the RAS (Moscow)
Abstract
In this paper the idea at the junction of the theory of digital signal processing, neuroinformatics and molecular genetics presented. Analysis of the symmetry groups of topological matrices of Cigankov-s virtual quantum neurocomputer «EMBRYO» for the synthesis of processor architecture non-Von-Neumann architecture converts a number in a positional number system allowed through logarithmic equivalence relations and general algebra of hyperbolic matrions to discover new sustainable fractal-matrix structure of the nucleotide sequences of different genetic organisms and viruses that having in some cases an individual character. Part of the calculations was performed on the supercomputer «MVS-10P» (JSCC RAS) using a system of orthogonal Walsh functions.
How to cite
Степанян И.В. Гиперболические матрионы в нейрокибернетике, биомеханике и биоинформатике // Нейрокомпьютеры: разработка, применение. 2015. № 5. С. 57–68.
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