Human Brain Theory: Information-Commutation Device of the Brain and Principles of its Work and Modeling


Series: Neuroscience Research Progress
BISAC: MED057000

The book was written as an attempt to find the solution to one of the most complex and unsolved issues of the human anatomy: the understanding of the human brain and the principles according to which it operates.

Currently, it is important to look at the challenge in an alternatively non-standard, yet still systemic way, paying less attention to details and outlining the ways out of this crisis of neuroscience.

The purpose of this monograph is to describe the author’s theory about the brain’s architecture and operation to the medical and scientific community. Accompanied with extensive clinical, research and training experience, the author’s theoretical concepts of the brain synthesized with scientific evidence brought about the conclusion that low efficiency in neurologic therapy and mental diseases; the inability to work out mathematical models and simulations that could compete with the human brain; an academic dead end in the development of artificial intelligence; as well as high energy consumption of the computing innovations were conditioned by the inaccurate methodology and outdated anatomical and physiological views of the neurologists and neuroscientists on information processing in the brain, registration of memories and basic functions of the key morphological structures of the brain.

The morphological structure and physiological functions of all known anatomical formations of the brain were defined in the late nineteenth century. Since then, these functions have been accepted as dogmatic.

The book shows that present day multi-level neuroresearch relies on the foundation of systemic, morphofunctional and neuroanatomic knowledge about the brain structure. It looks for correlations between genome and post-genome data of molecular research in the brain tissue, as well as with neuropsychological and cognitive data; that is, the book intends to integrate the non-integrable into unified information space. The systemic approach in neuroresearch has become outdated by now and interferes with scientific development.

The information approach in the author’s research of the genome, transcriptome, proteome in health and in disease permitted the analysis of the inductivity and magnetization of the nervous tissue. It also provided the explanation for targeted movement of the data in the module of the nervous tissue. The author came to the conclusion that gene, protein and neural networks “confused and chained” the pathways of scientific thought. Neural networks are only logistic constructions to provide data transfer in the brain between different modules of the nervous tissue. The author presumes that the funds invested in the development of brain simulations and artificial intelligence will hardly result in the expected advantages. If we are unable to step over the stereotypes of the systemic, morphofunctional research of the previous century, no progress shall come about. The author’s theoretical survey resulted in the unique information-commutation theory of the brain and formulation of the key principles of brain operation. As a clinician and professor of neurology, the author underpins his theory with clinical examples.

This book presents the framework of the ideas that require experimental research and proof. (Imprint: Nova Biomedical)

Table of Contents

Table of Contents

In Lieu of a Preface


Chapter 1. Neurology and Neural Research in the Early 21st Century

Chapter 2. Contemporary Scientific Concepts of the Human Brain Operation and Organization

Chapter 3. Current Global Research of Brain: Theoretical, Methodological and Technological Bases for the Discoveries, Inventions and Innovations in Contemporary Neuroscience

Chapter 4. A System Approach as the Basic Methodology of Contemporary Neuroresearch: Its Advantages and Disadvantages

Chapter 5. An Information Approach to the Fundamental and Theoretical Research of the Brain

Chapter 6. The Theory of the Information-Commutation Organization of Human Brain and Its Operations Principles

Chapter 7. The Methodology and Technologies of Developing 3D Virtual Models of the Brain

Chapter 8. Methodological Errors and Systemic Errors of Theoretical Neurology in the Development of 3D Virtual Models of Brain

Chapter 9. The Methodology to Develop a 3D Simulation of the Brain Using the Information Approach

Chapter 10. The Future of Theoretical Neurology in Clinical Medicine, the Mathematical Modeling of the Brain and the Development of a Brain-Computer Interface





“In this wonderful new book, Professor Andrey S. Bryukhovetskiy brings to the neuroscience and human brain operation community an exciting new intellectual plane for slicing through the knowledge of human brain information processing. The dimensionality of this plane is high and its orientation is very new and valuable. Specifically, what he proposes is that many of the original viewpoints from past history (which have been thoroughly ignored by neuroscience), such as that of John von Neumann, need to be reconsidered and carefully integrated into a new picture of how the human brain and mind function. For example, he mentions von Neumann’s extraordinarily high estimate of the information storage in an adult human Central Nervous System (CNS): (280,000,000,000,000,000,000 bits) or roughly 30 Exabytes (see Figure 1).
1 Bit = Binary Digit
8 Bits = 1 Byte
1024 Bytes = 1 Kilobyte
1024 Kilobytes = 1 Megabyte
1024 Megabytes = 1 Gigabyte
1024 Gigabytes = 1 Terabyte
1024 Terabytes = 1 Petabyte
1024 Petabytes = 1 Exabyte
Figure 1. The Scale of Binary Numbers
This is an extremely large storage capacity. For example, it is estimated that all of the data stored by humanity in all of its technological devices in 2007 was 2.4 × 1021 bits, or 260 Exabytes [1]. In other words, the total information storage capacity of humankind’s machines is equal to that of about 9 adult humans! Now, clearly, this is NOT what neuroscientists have been thinking. In fact, the overwhelmingly dominant view today is that the total number of information processing neurons in the human CNS is roughly 25 Billion. And this would mean that the average neuron is storing roughly 1 Trillion bits of information! Of course, that is one of the marvelous things about this book: Bryukhovetskiy makes it clear that the storage of information in the human brain is HIERARCHICAL, and so the main point is that neuronal coding is mostly about storing weighted combinations of features that are more explicitly described at lower levels.
Consider this excerpt:
“So, the level of the field of consciousness is the holographic information level, that is, the higher information level of the information processing in the brain by means of manipulation of the already commuted holographic IIMs.The holographic IIMs can be further manipulated on the basis of the mathematical theories of commutations, machines, image recognition and many other contemporary theoretical approaches of mathematics and cybernetics. The main scientific fact and fundamental basis of our theoretical study lies in the interaction of all information structures of the brain tissues and information structures of other solid organs at the level of their magnetomes of the information structures according to the holographic principle. The formed hologram integrates specific subpopulation of the information structure of the brain and other organs of the human body and is the main regulator of their information exchange, interinfluence and interaction. Formation of specific hologram of the IIM provides cognitive functions (thinking, learning etc.) in the brain. Moreover, the thought becomes material as it has its own IIM that is formed by the specific set of the information structures and organs of human/mammal body. Thus, the mechanisms of the therapy with words and psychotherapy become clear. In other mammals the IIMs also form as exact holograms integrating the activity of multilevel information structures and are associated with certain emotions, shouting, type of barking, wailing etc. Our supposition that the pia of the brain functions as the display of a human/mammal biocomputer and simultaneously as the hard drive for the storage of huge volumes of the data explains for the available evidence of the brain functioning.”
Of course, this view is in some ways similar to ideas going back many decades. But the key point made in this book is that there is enormous benefit associated with examining a wide variety of issues related to human brain information storage together; and integrating the conclusions reached. Finally, it is important to point out that Bryukhovetskiy’s analysis extends very widely and considers very competently the most powerful and deeply meaningful human neuroscience experimental approaches (e.g., fMRI and cortical afferent bundle tracing). And that makes this book one which a wide variety of human information processing personnel (neuroscientists, psychologists, neurologists and neurosurgeons, and animal behavior specialists) should buy and read carefully.” – <strong>Robert Hecht-Nielsen, MD, Professor, University of California, San Diego</strong>

Additional Information

The book will be interesting to the neuroscientists, neurobiologists and neuropsychologists. It also can have potential demand among the technical specialists who work in the field of neurocybernetics, neurobionics and neuromathematics, among the electronic engineers and software engineers involved in modeling of the human brain functions, development of brain emulators and simulators and artificial intellect, as well as among the neuroengineers who develop brain implantable micro-electrodes, micro-chips and brain-computer interfaces. The book presents interest to the military specialists in double purpose neurotechnologies

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