THE PROBLEMS OF THEORETIC NEUROLOGY: INFORMATION-COMMUTATIVE THEORY OF HUMAN BRAIN AND PRINCIPLES OF ITS FUNCTIONING

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Abstract

The article summarizes contemporary scientific concepts of brain organization and structure. For the first time we developed information principles of brain functioning and the basics of information communicative theory of brain. Here we demonstrate that information commutative organization (ICO) of brain has multilevel structure of open type represented by the block of information capture and transfer (BICT) and the block of information processing (BIP). BICT is a switchboard with information dispatcher and router in nervous tissue (NT). BICT has system vertical and complex horizontal commutation. Brain ICPs are presented as interthecal information registers (ITIRs) that provide extraneural information processing in subarachnoid space (SAS) and subdural space (SDS) above brain. The arcs of conditioned and unconditioned reflexes close in SAS extraneurally when electro-magnetic waves (EMWs) of cortical ICM subscribers are reflected from the arachnoid mater and information is automatically sent to ICM receivers of brain cortex (reflectory ITIRs). Information processing (analysis, synthesis, calculations) is based on dissipation of EMWs of cortical NT ICMs in SAS and SDS cerebrospinal fluid (CSF) forming support and object EMWs, which, being reflected from the arachnoid or dura mater form holograms of information images matrixes (IIMs) by interference, diffraction and superimposition while IIMs are the basics of brain cognitive functions (cognitive ITIRs). The theory of brain can become a new milestone in the development of therapies of nervous diseases, neuromorphic computation, innovative systems of artificial intellect and novel approaches to brain-computer interface.

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ПРОБЛЕМЫ ТЕОРЕТИЧЕСКОЙ НЕВРОЛОГИИ: ИНФОРМАЦИОННО-КОММУТАТИВНАЯ ТЕОРИЯ И ПРИНЦИПЫ РАБОТЫ ГОЛОВНОГО МОЗГА ЧЕЛОВЕКА
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About the authors

A S Bryukhovetskiy

Email: neurovita as@mail.ru

References

  1. The Human Brain Project. A Report to the European Commission. The HBP-PS Consortium, Lausanne, 2012 April.
  2. The Human Connectome Project (США), http://www.humanconnectomeproject.org/about/
  3. Amunts K, Lepage C, Borgeat L, et al. BigBrain: an ultrahigh-resolution 3D human brain model. Science. 2013;340(6139):1472-75.
  4. Markram H. The blue brain project. Nat Rev Neurosci. 2006 Feb;7(2):153-60
  5. Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Working group, Interim Report. National Institutes of Health (US); 2013. Feb.: http://www.nih.gov/science/brain/
  6. Markram H. 2012 www.popsci.com/../how-simulate-human-brain.
  7. Ухтомский А.А. Доминанта как рабочий принцип нервных центров. Ленинград, 1978.
  8. Хомская Е.Д. Нейропсихология. Учебник. Москва, 1987.
  9. Штольман Д.Р., Левин О.С. Неврология: Справочник практ. врача. 6-е изд-е М.:МЕДпресс- информ. 2008. 1024 с.
  10. Samsonovich, A. V. and Nadel, L. Fundamental principles and mechanisms of the conscious self. Cortex 2005; 41 (5): 669-89.
  11. Анохин П.К. Биология и нейрофизиология условного рефлекса. Москва, 1968.
  12. Судаков К.В. Функциональные системы. М.: Изд. РАМН, 2011.
  13. Карлов В.А. Неврология: руководство для врачей. 2-е изд. М: Медицинское информационное агентство, 2002 г. 631 с.
  14. Карлов В.А. Неврология: руководство для врачей. 3-е изд., перераб и доп. М: Медицинское информационное агентство, 2011 г. 664 с.
  15. Сандригайло Л.И. Анатомо-клинический атлас по невропатологии. Минск,1978. 269 с.
  16. Андрус В. Ф. «Размышления о формировании «душ» (призраков) и «фантомов» (привидений) фауны и флоры с точки зрения нейтронных наук» http://www.elit-cons.com/ files/ RU/ reflections_ru.pdf, 19 май 2013.
  17. Дуус П. Топический диагноз в неврологии, М.: ИПЦ «ВАЗАР-ФЕРРО» 1996. 378 с.
  18. Дуус П. Топический диагноз в неврологии по Петеру Дуусу. М.: Практическая Медицина, 2009. 467 с.
  19. Hecht-Nielsen R. "A Theory of Thalamocortex". Computational Models for Neuroscience, под ред. Robert Hecht-Nielsen, Thomas McKenna. Springer, 2003. 85-118.
  20. Baev K.V. A new conceptual understanding of brain function: basic mechanisms of brain-initiated normal and pathological behaviors. Crit Rev Neurobiol 2007; 19 (2-3): 119-202.
  21. Sutton J. P., Strangman G. "The Behaving Neocortex as a Dynamic Network of Networks". Computational Models for Neuroscience, под ред. Thomas McKenna, Robert Hecht-Nielsen. Springer, 2003. 205-17.
  22. Favorov O. "The Cortical Pyramidal Cell as a Set of Interacting Error Backpropagating Dendrites: Mechanism for discovering Nature's Order". Computational Models for Neuroscience, под ред. Thomas McKenna, Robert Hecht-Nielsen. Springer, 2003. 25-60.
  23. Zemel R.S., Mozer MC. Localist attractor networks. Neural Comput 2001; 13 (5) May: 1045-64.
  24. Pribram, Karl. Languages of the Brain: Experimental Paradoxes and Principles in Neuro-psychology. N.Y.: Prentice Hall/Brandon House, 1971.
  25. Bruce L. Miller, Jeffrey L. Cummings. The Human Frontal Lobes, 2-nd Edition: Functions and Disorders. The Guilford Press, 2006.
  26. Routtenberg A., Lifetime memories from per- sistently supple synapses. Hippocampus 2013 Mar; 23(3): 202-6.
  27. Taylor J.G., Taylor N.R. Analysis of recurrent cortico-basal ganglia-thalamic loops for working memory Biol Cybern 2000; 82(5) May: 415-32.
  28. Kandel E.R. The molecular biology of memory storage: a dialog between genes and synapses. Biosci Rep. 2004 Aug-Oct; 24(4-5):475-522.
  29. Ramirez S, Liu X, Lin PA, Suh J, Pignatelli M, Redondo RL, Ryan TJ, Tonegawa S. Creating a false memory in the hippocampus. Science. 2013 Jul 26; 341(6144):387-91.
  30. Samsonovich A.V. Emotional biologically inspired cognitive architecture. Biologically Inspired Cognitive Architectures 2013; 6: 109-125.
  31. Samsonovich A.V., Ascoli G.A. Augmenting weak semantic cognitive maps with an 'abstractness' dimension. Comput Intell Neurosci 2013;2013: 308176: doi:10. 1155/ 2013/ 308176.
  32. Ascoli G.A., Samsonovich A.V. A spiking-network cognitive architecture inspired by the hippocampus. Biologically Inspired Cognitive Architectures 2013;3: 13-26.
  33. Taylor J.G. On the neurodynamics of the creation of consciousness. Cogn Neurodyn 2007; 1(2) June: 97-118.
  34. Cauller L.J., Connors B.W. Synaptic physiology of horizontal afferents to layer I in slices of rat SI neo-cortex. J Neurosci 1994; 14(2) Feb: 751-62.
  35. Cauller L.J., Kulics A.T. The neural basis of the behaviorally relevant N1 component of the somatosensory-evoked potential in SI cortex of awake monkeys: evidence that backward cortical projections signal conscious touch sensation. Exp Brain Res 1991; 84(3): 607-19.
  36. Cauller L.J. The Neurointeractive Paradigm: Dynamical Mechanics and the Emergence of Higher Cortical Function. Computational Models for Neuroscience, под ред. Thomas McKenna, Robert Hecht-Nielsen, 1-22. Springer, 2003.
  37. Capolupo A., Freeman W.J., Vitiello G. Dissipation of 'dark energy' by cortex in knowledge retrieval. Phys Life Rev 2013; 10 (1)March: 85-94.
  38. Başar E., Başar-Eroglu C., Karakaş S., Schürmann M. Gamma, alpha, delta, and theta oscillations govern cognitive processes. Int J Psychophysiol 2001; 39 (2-3): 241-8.
  39. Başar E., Başar-Eroglu C., Karakaş S., Schürmann M. Oscillatory Brain Theory: A New Trend in Neuroscience. Eng Med Biol Mag 1999; 18 (3) May/June : 56-66.
  40. Neftci E., Binas J., Rutishauser U., Chicca E., Indiveri J, Douglas R.J. Synthesizing cognition in neuromorphic electronic systems. Proc Natl Acad Sci USA. 2013 Sep 10;110(37): E3468-76.
  41. Friston K, Mattout J, Trujillo-Barreto N, Ashburner J, Penny W. Variational free energy and the Laplace approximation. Neuroimage 2007; 34(1): 220-34.
  42. Friston KJ., Stephan KE. Free-energy and the brain. Synthese 2007; 59(3): 417-58.
  43. Karl F. A Free Energy Principle for Biological Systems. Entropy 2012; 14(11): 2100-2121.
  44. Natarajan R, Huys QJ, Dayan P, Zemel RS. Encoding and decoding spikes for dynamic stimul. Neural Comput 2008; 20(9): 2325-60.
  45. Freeman W.J. Performance of Intelligent Systems Governed by Internally Generated Goals, Computational Models for Neuroscience, под ред. Thomas McKenna, Robert Hecht-Nielsen, Springer, 2003. p65-82.
  46. Freeman W.J. Definitions of state variables and state space for brain-computer interface: Part 1. Multiple hierarchical levels of brain function. Cogn Neurodyn 2007;1(1) March: 3-14.
  47. Freeman W.J. Understanding perception through neural «codes». IEEE Trans Biomed Eng 2011; 58 (7): 1884-90.
  48. Reimann M.W., Anastassiou C.A., Perin R., Hill S.L, Markram H., Koch C. A biophysically detailed model of neocortical local field potentials predicts the critical role of active membrane currents. Neuron 2013; 79 (2): 375-90.
  49. Constantinople CM, Bruno RM. Deep cortical layers are activated directly by thalamus. Science 2013 Jun 28; 340(6140): 1591-4.
  50. Beck F., Eccles J.C. Quantum aspects of brain activity and the role of consciousness. Proc Natl Acad Sci USA. 1992 December 1; 89(23): 11357-61.
  51. Jibu M., Yasue K. Quantum Brain Dynamics and Consciousness. John Benjamins Publishing Company, 1995.
  52. Czarnecki R. «The Quantum Brain: Theory or Myth?» 1998.
  53. Keppler, J. A new perspective on the functioning of the brain and the mechanisms behind conscious processes. Front Psychol 2013 April 30; 4: 242.
  54. Roy A. Connectionism, Controllers, and a Brain Theory. IEEE Transactions On Systems, Man, And Cybernetics-Part A: Systems And Humans, 2008; Vol. 38, No. 6.
  55. Sanz Leon P, Knock SA, Woodman MM, Domide L, Mersmann J, McIntosh AR, Jirsa V., The Virtual Brain: a simulator of primate brain network dynamics. Front Neuroinform. 2013 Jun 11;7:10.
  56. Stewart T.C., Choo F-X., Eliasmith C. Spaun: A Perception-Cognition-Action Model Using Spiking Neurons, Centre for Theoretical Neuroscience, University of Waterloo, Canada. 2012.
  57. Симонов П.В. Лекции о работе головного мозга. Потребностно-информационная теория высшей нервной деятельности. Москва: Институт психологии РАН, 1998.
  58. Терентьев А.А., Молдогазиева Н.Т., Шайтан К.В. Динамическая протеомика в моделировании живой клетки. Белок-белковые взаимодействия// Успехи биологической химии. 2009. Т.49. С 429-80.
  59. Crick F. Thinking about the brain. Scientific American, September 1979: 219-32.
  60. Hawkins J. TED Talks – 2009; http://www.ted. com /talks/jeff_hawkins_on_how_ brain_science_will_change_computing.html?quote=159
  61. Брюховецкий А.С. Клиническая онкопротеомика: персонализированная противоопухолевая терапия. М.: Практическая медицина, 2013. 630 с.: ил.
  62. Неймарк Ю.И., Коган Р.Я., Савельев В.П. Динамические модели теории управления. М.: Наука, 1985. 399 с.
  63. Брюховецкий А.С. Клеточные технологии в нейроонкологии: циторегуляторная терапия глиальных опухолей головного мозга. М.: Издательская группа РОНЦ, 2011. 736 с.: ил.
  64. Гапеев А.Б. Физико-химические механизмы действия электромагнитного излучения крайне высоких частот на клеточном и организменном уровнях: автореф. дис.. д-ра физ.мат.наук /Ин-т биофизики клетки РАН. Пущино, 2006. 48 с.

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