Vladimir Tsygankov, creator of a Universe Neurocomputer Model


Vladimir Dmitrievich Tsygankov was born in Moscow. He graduated from Odessa Electrotechnical Institute of Communications (OEIC) with a degree in Radio Engineering. He worked at the PRIMM in Penza from 1959 to 1979. He participated under the guidance of the Chief Designer of URAL-type mainframes B.I. Rameyev, in creating the theory, development, and mastering of URAL-10 modules – functional elements batch manufacturing for the first in the USSR URAL-type semiconductor computers.

He has headed the work in the promising scientific field “Bionics and Neurocybernetics” related to the development of technical systems for the recognition, control of non-stationary dynamic objects, industrial and mobile robots at the PRIMM MRI (Penza) since 1964. V. Tsygankov has been the chief designer of robots at PRIMM since 1971, and the chief designer of robots at the 8th Main Directorate of the USSR Ministry of Radio Industry (MRI) since 1977.

V.D. Tsygankov, after transferring to work in Moscow in 1979, worked at the Central Scientific and Research Institute of the Ministry of Defense Industry (Moscow), and participated in the development, production, and implementation of control systems for technological equipment with CNC and large integrated industrial control systems (CAM, MIS, and FMS IACS).

The scientific foundation of the original virtual neural network paradigm, in development by V.D. Tsygankov since 1964 is the theory of the functional system of the outstanding Soviet and Russian neurophysiologist, P.K. Anokhin, with whom he successfully collaborated for many years and defended his thesis in 1974 “Intersensory transference as the most important link in artificial intelligence (AI)”.

V.D. Tsygankov – Corresponding Member of the International Academy of Informatization (IAI), Ph.D. in Information Technology (on the topic “Physical system for modeling of the brain and artificial non-protein living matter”) of the International Academy of Information Technologies (IAIT), Ph.D. in technical sciences. He was the editorial board member of the Higher Attestation Commission Journal “Neurocomputers, Development, Application” in the 90s, and the organizing committee member of the annual All-Russian Conference “Neurocomputers and their Application”. V.D. Tsygankov currently works as the Director of Science at the Biomedis Scientific Industrial Company (Moscow). He has published 249 scientific works and 21 monographs.

Vladimir Dmitrievich, I had a chance to work with you in 2004. We communicate with you for several hours a day sometimes and I would like to thank you for the knowledge and science that you gave me. I cannot stop to wonder at the breadth of your knowledge, which is literally encyclopedic in nature. How do you manage to create so effectively?

Thank you for the appreciation of my scientific research in fundamental and applied aspects, as well as for my pedagogical efforts.

I was lucky with the first teachers in my life. The physics teacher Dmitry Grigorievich Guz made me love physics in the literal sense at school. I became an avid radio amateur in his circle and entered the radio faculty at the Odessa Institute of Communications then. Another teacher was my own aunt, assistant professor of biology at Odessa State University, thanks to whom I became interested in biology and mountaineering. My curiosity and enthusiasm gave birth to a centaur in me as the combination of radio engineer, physicist, biologist and a mountain traveler who practiced hiking constantly since 1948. There was a year of intensive work at the research institute and the mandatory expansion of the scientific horizons at that time and I went for a hike in the mountains or to a climbing camp on vacation. Mountains can make us think of difficulties, hardships, but exceptional collectivism and amazing positive emotions from the beauty of the mountains cool the health and create a spiritual mood, ground us, and create conditions for longevity.

Your ideas lie somewhere between neurophysiology and cosmology, and this affects physics and consciousness fundamental problems. Is there something that unites the universe and the mind?

If we list the sections of science that have been embodied in what I physically implemented in a virtual neurocomputer — an electronic device or a physical model of the robot’s brain in the form of the Academic, P.K. Anokhin’s Functional System, we’ll get the following list: the evolutionary theory of Charles Darwin, the laws of Gr. Mendel, R. Sheldrake’s morphogenetic fields, genetic replicators, models of the basic laws of neurophysiology, the periodic law of elements, elementary particle physics, quantum mechanics, industrial and unmanned robotics. genetic cosmological model of the Big Bang and the universe’s evolution, the quantum model of consciousness (St. Hameroff – R. Penrose model), and a macro-quantum neurocomputer.

The Universe and the mind are united by the Big Bang nature (singularity 1) and his (her) evolution to a black hole (singularity 2), as well as our mind from the uterine state of birth from a zygote to pulling into sigularity 2 or to death.

I am currently working on the “Toward a Standard Model of Elementary Particle Physics of the Embrion Virtual Neurocomputer” book. Steven Weinberg, one of the GWS-Laplacian development authors, quite recently, in 2015 in his new “To Explain the World” book spoke of the Standard Model as follows: “The standard model represents a fairly unified point of view on all types of matter and forces … and it can be described as a set of equations that fit on a single sheet of paper. Of course, we live in a universe governed by the Standard Model. We can be sure that the Standard Model will be at least an approximate version of a better future theory”.

The “embrion” neurocomputer is a device, a physical system in which numerous different types of “particles” and “antiparticles” are simulated at the information level, their birth, different types of interaction, transformation into each other, and death-disappearance. So-called “n-atoms” are made up of particles. We register dynamic processes similar to the Big Bang cosmological laws or genetically similar to the processes of a complex system birth in the form of a future organism with their evolutionary development and withering at the particles’ collective and “n-atoms” level. Therefore, the problem arose naturally regarding a neurocomputer’s formal theory development in the language of elementary particle physics similar to the well-known Standard Model in physics and cosmology. The consciousness quantum model or the mind physics will find its place in it naturally.

Interestingly, St. Weinberg expressed his opinion on the above thought about the physics of consciousness in his book Epilogue: “We may come to understand the processes in the brain that are responsible for the consciousness, but we can hardly describe thoughts and feelings in physical terms” (page 411). My colleague Steven is starting to age already! His thoughts seem too radical to me.

You were the first to introduce the concept of quantum neural networks in your Neurocomputer and its Application monograph in 1993. They are defined on Wikipedia now with reference to the first 1995 works of Subhash Kak and Ron Chrisley as neural networks’ models based on the quantum mechanics principles. It also states that there are two different approaches to their study: one uses quantum information processing to improve existing neural network models and the other searches for potential quantum effects in the brain. What are quantum neural networks in your understanding?

This is the most interesting and conceptually important issue in my opinion. Many works on the quantum aspects of the biological structures functioning are already known: on the quantum origin of life, on quantum coherence and the search for the first replicator, on the biomolecular machines quantum mechanics, on the electronic clouds and life geometry, on various quantum models of consciousness and artificial intelligence. There is even a whole science called Quantum Chemistry.

It all started with robots. We soldered and patented a mouse brain electronic model, which controls its probabilistic behavior in the T-shaped labyrinth or the “EMBRION” learning machine in 1966. When we began to analyze the behavior change graphs according to the changes in the probabilities of choosing from 2 pair alternatives: “left”, “right”, “pain”, “food” during training, we found a clear picture of macroquantization of energy levels and intensities in space-time unexpectedly for ourselves.

This prompted us to turn to the quantum mechanics laws, the language of which is suitable for describing such interference processes in crystals during spectroscopy and in x-ray structural analysis.

We saw that in a quantum neural network there is a quantum nonlocality or long-range coherence (interrelation-interaction) between the qubits of neurons, which are the cause and mechanism for the formation of such a complex causally organized, active network structure belonging to the chain branched reactions class of the USSR academic N. N. Semenov.

Such a virtual network structure can be rebuilt in real-time exceptionally easy, thanks to quantum parallelism, instantly, with one control impulse into a completely new structure with new neurons, new connections, and new information interactions. This makes it an effective resource for control systems, for the development and production of quantum computers, because the “Embrion” technology is suitable for implementation in a nanotechnological element base.

We have developed a number of visualization algorithms occurring in a neurocomputer. Two-dimensionality seems to be an informative and mathematically rich space. What do you think about this?

Any decrease in dimensionality leads to condensation, enlargement, coarsening and, as a consequence, to information loss. And what information we lose, valuable or noise depends on the task being solved. Two-dimensionality cannot be mathematically richer than multidimensionality. Two-dimensionality is justified if you filter the noise or information you do not need, but this information can be valuable to another user. Saving resources and visualisation efficiency increase are possible then.


Quantum neural networks. The author of the “Quantum neural networks” and accompanying pentagram music video is musician, inventor, and Doctor of Biological Sciences Ivan Viktorovich Stepanyan who investigated and visualized the processes occurring in quantum neural networks and discovered their connection with genetic coding and pentagram music

Highly professional programmers such as Alexander Sobolev, Gusev, Georgy Igin, Sabuhi Sharifov devoted many intellectual resources and personal time to visualizing virtual processes in the neurocomputer; especially, Ivan Stepanyan developed many programs. The visualization program of the neurocomputer quantum neural networks of various forms and complexity, voiced by genetic music, is particularly impressive. If it were possible to present the network in the form of a limited external surface, a film (skin or skull), then it would be possible to synthesize using a neurocomputer various types of color, singing artificial crystals from various informational “n-atoms” of the periodic system table.

You talked about “relict radiation” that you managed to register in a neurocomputer. Was there a real Big Bang in nature in accordance with the neurocomputer model of the universe? Whether it was the only one or not?

I am sure that there was more than one Big Bang in nature. I like the different ideas of A.D. Sakharov and R. Penrose about the cyclical life of many universes. My Universe model is very similar to the model of a spatially closed Universe “out of nothing” by Yakov Zeldovich (1988). For me “nothing” is a cold superdense non-entropic primatom from a quantum vacuum or ether, which at the stage of inflation heats up to the limit of expansion in space, entropy is generated, atoms are radioactively separated, and particles, in turn, decay and give rise to a simpler particles and atoms cluster, which in evolution condense into the Universe massive macro objects, which emit energy and lose their mass sequentially. The universe is cooling. Radiant energy is attracted gravitationally by more massive bodies, until the entire mass of all objects in the Universe is gathered in one finite object, in the Black Hole. Since the evolutionary process is probabilistic, in the time interval of evolution from losing their mass objects there remain relict remnants, fragments that form a low-temperature phantom or a radiation relict cloud in space.

And why is your neurocomputer called “virtual”? What is virtuality in a virtual neurocomputer?

Computers of this kind or type and, most importantly, virtual neurocomputers are unknown to me. We are not talking about the gaming, technical, architectural additional virtual reality that requires special glasses.

First, about the“virtuality” term in the particle physics Standard Model. This term is used for physical particles for which the energy and momentum conservation laws were satisfied at the Feynman diagram elementary vertex. It is known from the theory of relativity that the square of the 4-momentum of a particle is equal to the square of the mass of this particle. If the particle “descends” from the mass surface, then it is called virtual. An electron on an electron scattering generates a virtual photon.

The particle squared momentum and the squared mass difference is called virtuality in physics. It can be two signs. For real (observed) particles, the square 4-momentum is always strictly equal to the square of the mass. Virtual particles are unrealistic (unobservable). They live in a very short time! They can be seen only under the condition that their observation time should be less than their lifetime, but greater than quantum uncertainty, and the path that such a particle travels during its lifetime should be longer than the W.Heisenberg uncertainty principle allows.

Virtual particles are unobservable, invisible. And particles (neurons or “n-atoms”) are observed in a virtual neurocomputer and even they can be visualized. All “n-atoms”, except for one, the physical one, which is involved in the generation of the Universe with all its objects and their evolution, and all neurons are virtual in our virtual neurocomputer!

The real information atom is implemented in the form of two binary codes entered in the S and P0 registers. A virtual probabilistic ψ-field is a “life” wave function of one information neurocomputer atom in space — time, particle life, which exponentially passes over its lifetime equal to Umax, in accordance with the solution of the E. Schrödinger equation or in the form of R. Feynman “integral along the trajectories” in his, one of many, version of the quantum mechanics interpretation (Copenhagen, N. Bohr, Einstein, M. Born probabilistic, H. Everett, R. Feynman multi-world, A. Holevo, D. Blokhintsev, D. Bohm statistical, and others.).

We made virtual particles observable in dynamics by a programmed way, increasing Δt – their lifetime and Δt – paths of particles after interactions.

You are very interested in mountaineering and even survived an avalanche in the Himalayas recently. Tell us more about your travels. What were some of the most interesting ones?

Each annual trip is a whole short, but extremely eventful life. It is like bard Oleg Mityaev’s “Summer is a small life” popular song. Cases are necessarily interesting and not very in every trip. I nearly drowned in the Pamir in Bartang, I flew off a cliff in an alpine camp in the Caucasus when descending from the top, I “kissed” a bear at the entrance to my tent in Kamchatka near the Valley of Geysers, I flew a third of a safety rope into a deep crack on the Shokalsky Glacier in the Pamir and I nearly drowned in Vanj in a truck… Do not try to change the girl to a flock of sheep in Central Asia! You will get a flock of sheep definitely, and the girl will have to redeem (or beat off)! I celebrated my 80th birthday at the Base Camp near Everest, almost at an altitude of 6000 m a day before the earthquake in Nepal on April 24th, 2015. A huge avalanche descended on us directly from the peak’s crest to the camp of climbers in the Base Camp. It was tragic!

Above Namche Bazaar Town (4000 m)

You talk about active longevity and its neural network interpretation in your reports and papers. Could you share tips with our readers on how to lead a healthy lifestyle, where and how to draw creative energy?

Our daily life is a constant, every second, every minute, daily, the annual flow of probabilistic personal choices that are currently located at the points of bifurcation, branching in the brain neural networks and at the upcoming events selection points or our actions, actions in the near future. Most often we do things unconsciously, automatically, or intuitively. Listen to your inner warning voice! The art of longevity or a healthy life is in the probabilities choice management. The easiest automated solutions lead to a shortened life expectancy, and the choice of less likely upcoming events is riskier, but the choice is intuitively suggested, if you think for a moment, it slows down aging, mobilizes vital resources and strengthens and develops the body’s defense systems. Do not be afraid to overwork! Work on health, not looking at age and laziness! But know, use and do not violate the law of parabiosis and variable optimal lability (rhythm), the rhythms of our lives, discovered by our Russian academicians N.E. Vvedensky and A.A. Ukhtomsky.

It is best to draw healthy energy actively in nature, outside the city, higher in the mountains, where there is clean water and almost no germs and other harmful effects, and the higher you are, the better, kinder and friendlier are the people. They are always hospitable and glad to see you.

Very close to Everest Base Camp (6000 m) at the age of 80. There is a black triangular “pimple” above my head, it is my subjugated Kala-Patthar peak 5650 m, and there is Pumori peak (7161 m) above it, an avalanche descended from its shoulder, where the cloud is. Climbers camp to the right of Kala – Patthar

Interview: Ivan Stepanyan

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