I.V. Stepanian - Ph.D. (Eng.), Dr.Sc. (Biol.), Leading Research Scientist, Laboratory of biodynamics, Institute for Machine Science named by A.A. Blagonravov of the RAS. E-mail: neurocomp.pro@gmail.com O Han Do - Ph.D (Med.), Chief of Holding «in2sm.com» (Seoul, Republic of Korea). E-mail: ohd@wtf.org V.I. Svirin - Research Scientist, Institute for Machine Science named by A.A. Blagonravov of the RAS (Moscow). E-mail: vitaly.i.svirin@gmail.com K.V. Pleshakov - Post-graduate Student, Institute for Machine Science named by A.A. Blagonravov of the RAS (Moscow). E-mail: kpleshakov@gmail.com A.V. Savelyev - Senior Research Scientist, Director of the Patent agency «©Uniquely honest patenting» (Moscow). E-mail: gmkristo@rambler.ru

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 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. We have selected the criteria for the systematization of hypercomplex systems, genetic matriexes and genetic algebras were described in [2]. This taxonomy is important to build a more efficient algorithms for the analysis of biomechanical data by optimizing the software and hardware platform for digital signal processing based on hyper approach to parallelization of computational algorithms [4]. The relevance of the concept of hyper neuro-analysis due to the need to optimize hardware and software resources for solving a number of important tasks, including: challenges Neurocybernetics, bioinformatics, pattern recognition in medical diagnostics, including an analysis of human biorhythms and biological potentials in systems with biofeedback, class of problems biomorphic engineering. This work was financially supported by RFH in grants № 15-03-00519а «Post-non-classic paradigm of artificial intellect».

 

1. Petukhov S.V. Giperkompleksnye chisla i algebraicheskaja sistema geneticheskikh alfavitov. EHlementy algebraicheskojj biologii // Giperkompleksnye chisla v geometrii i fizike. 2011. T. 8. №2 (16). S. 118-139.
2. Stepanian I.V., Petoukhov S.V., Pleshakov K.V.The analysis of the nucleotide sequences on base of functions by Walsh and Rademacher // Proceedings of the International conference «The problem of the origin of life», Moscow, 22-26 September. 2014. P. 58.
3. Aliev M.V., CHicheva M.A. Algoritmy dvumernogo DPF s predstavleniem dannykh v algebre giperkompleksnykh chisel // Algebra i linejjnaja optimizacija: Trudy mezhdunar. seminara, posvjashh. 90-letiju so dnja rozhdenija S.N. CHernikova. Ekaterinburg: UrO RAN. 2002. C. 18-26.
4. Stepanjan I.V. Vychislenija na nejjro-EHVM i teoretiko-mnozhestvennyjj podkhod k analizu biosimmetrijj geneticheskikh posledovatelnostejj // 150 let «Refleksam golovnogo mozga»: Sb. nauch. trudov jubilejjnogo simpoziuma, posvjashhjonnogo izdaniju stati I.M. Sechenova / otv. red. A.JU. Alekseev, JU.JU. Petrunin, A.V. Savelev, E.A. JAnkovskaja. M.: «IIntell». 2014. S. 358-371. 432 c.