Volume 8, Issue 3, June 2020, Page: 98-122
Differential Incremental Equilibrium Geometry-Effects of Cerebral Groove and Protein Granule Motion on Thinking Space and Mental Activity
Zhu Rongrong, DIEG Mathematics Research of HR, Fudan University, Shanghai, China
Received: Apr. 16, 2020;       Accepted: May 3, 2020;       Published: May 27, 2020
DOI: 10.11648/j.ajam.20200803.14      View  134      Downloads  52
Abstract
The research direction of this paper is to construct brain-like spatial structure and brain, nervous system and neurotransmitters from molecular cytobiology to construct mental acquisition from the influence of neuron and genome expression on brain, especially the material suspension caused by mental collapse to the neuron-like topological spatial structure and fluid topological structure of neurotransmitters. The spatial construction of acquired immunity and fluid morphology of neurotransmitters in the field of psychiatry (Carrying schizophrenia and other factors) also has brain-like mental activity traits. Stable traceability of neurotransmitter structure of series signal in schizophrenics with advanced intelligence. The high-end hyperspherical convex spherical fiber bundles with reduced dimension in 3+1 dimension system, special light field with radiation, and the collapse of mental force cause the suspension of substance in stationary state, the similar solution of solitary wavelet of petal-like micro-fibers in superimposed bundles. That is to say, the intelligent information particles carrying special image fragments in the form of mental energy in Psychological Acquired Immunity. Including primitive and innovative mathematical models of neuronal cell modification. Therefore, on the basis of original mathematical "differential incremental equilibrium geometry". The geometric models of spatial geometry and fluid structure of neurotransmitters of all neurons in life sciences are solved at the molecular level. Even using the nonlinearity of 4-dimensional super-high-end super-spherical convex fiber plexus "redundancy, petal-like micro-fibers" Sex-like solitary wavelet, which truly establishes the internal structure and law of molecular cell biology model. Reflects the new field of human brain research. It provides the basis and precondition of theory and application for the establishment of hybrid artificial intelligence of life and machine. and has far-reaching influence and important development prospects for the development of artificial intelligence, especially in brain-like artificial intelligence.
Keywords
Cell Modification, Neurons, Neurotransmitters, Acquired Psychoimmunity, Quasi Brain Science, Nonlinear Solitary Wavelet
To cite this article
Zhu Rongrong, Differential Incremental Equilibrium Geometry-Effects of Cerebral Groove and Protein Granule Motion on Thinking Space and Mental Activity, American Journal of Applied Mathematics. Vol. 8, No. 3, 2020, pp. 98-122. doi: 10.11648/j.ajam.20200803.14
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
C. Rogers W. K. Schief, Bäcklund and Darboux Transformations: Geometry and Modern Applications in Solition Theory, first published by Cambridge University, 2015: 1-292.
[2]
Chen Zhonghu, Lie group guidance, Higher Education Press, 1997: 1-334.
[3]
Ding Peizhu, Wang Yi, Group and its Express, Higher Education Press, 1999: 1-468.
[4]
E. M. Chirka, Complex Analytic Sets Mathematics and Its Applications, Kluwer Academic Publishers Gerald Karp, Cell and Molecular Biology: Concepts and Experiments (3e), Higher Education Press, 2005: 1-792.
[5]
Gong Sheng, Harmonic Analysis on Typical Groups Monographs on pure mathematics and Applied Mathematics Number twelfth, Beijing China, Science Press, 1983: 1-314.
[6]
Gu Chaohao, Hu Hesheng, Zhou Zixiang, Dar Boux Transformation in Solition Theory and Its Geometric Applications (The second edition), Shanghai science and technology Press, 1999, 2005: 1-271.
[7]
Jari Kaipio Erkki Somersalo, Statistical and Computational Inverse Problems With 102 Figures, Spinger.
[8]
Lou Senyue, Tang Xiaoyan, Nonlinear Mathematical Physics Method, Beijing China, Science Press, 2006: 1-365.
[9]
Numerical Treatment of Multi-Scale Problems Porceedings of the 13th GAMM-Seminar, Kiel, January 24-26, 1997.
[10]
Notes on Numerical Fluid Mechanics Volume 70 Edited By Wolf Gang Hack Busch and Gabriel Wittum.
[11]
Qiu Chengtong, Sun Licha, Differential Geometry Monographs on pure mathematics and Applied Mathematics Number eighteenth, Beijing China, Science Press, 1988: 1-403.
[12]
Ren Fuyao, Complex Analytic Dynamic System Shanghai China, Fudan University Press, 1996: 1-364.
[13]
Shou Tiande, Neurobiology (2e) Higher Education Press, 2001, 2006: 1-548.
[14]
Shou Tiande, Neurobiology, Higher Education Press, 2001, 2003: 1-470.
[15]
Su Jingcun, Topology of Manifold, Wuhan China, Wuhan university press, 2005: 1-708.
[16]
TECHNIQUES D’ Analyse MATHE’MATIQUE 1968 Masson etCie, Paris. Imprimé en France Wave Packet Analysishristoph Thiele Numer 105 Library of Congress Cataloging-in-Publication.
[17]
Data Thiele. Christoph, 1968 Wave packet analysis / Christoph Thielep. (Regional conference series in mathematics. ISSN 0160-7642: no. 105).
[18]
W. Miller, Symmetry Group and Its Application, Beijing China, Science Press, 1981: 1-486.
[19]
Wu Chuanxi, Li Guanghan, Submanifold geometry, Beijing China, Science Press, 2002: 1-217.
[20]
Xiao Gang, Fibrosis of Algebraic Surfaces, Shanghai China, Shanghai science and technology Press, 1992: 1-180.
[21]
Zhang Wenxiu, Qiu Guofang, Uncertain Decision Making Based on Rough Sets, Beijing China, tsinghua university press, 2005: 1-255.
[22]
Zheng jianhua, Meromorphic Functional Dynamics System, Beijing China, tsinghua university press, 2006: 1-413.
[23]
Zheng Weiwei, Complex Variable Function and Integral Transform, Northwest Industrial University Press, 2011: 1-396.
[24]
LABPHTEB M. A., Tria BAT B. B., Methods of Function of a Complex Variable Originally published in Russian under the title, 1956, 2006: 1-287.
[25]
Tang Hua, Principle and application of RNA interference, Beijing China, Science Press, 2006: 1-482.
[26]
Wang Jiankang, Applied quantitative genetics, China Agricultural Science and Technology Press, 2007: 1-269.
[27]
J. Barciszewski, V. A. Erdmann, Noncoding RNAs: Molecular Biology and Molecular Medicine, Chemical Industry Press, 2008: 1-299.
[28]
Jin Youxin, Zhao Botao, Ma Zhongliang, TECHNIQUES OF RNA INTERFERENCE, Chemical Industry Press, 2013: 1-192.
[29]
Chen Xinquan, Application of optimization method in clustering algorithm, University of Electronic Science and Technology Press, 2014: 1-128.
[30]
Li Gui Yuan, Wu Minghua, NON-CODING RNA AND TUMOR, Beijing China, Science Press, 2014: 1-399.
[31]
J. E. Krebs, E. S. Goldstein, S. T. Kilpatrick, Lewin’s Genes X, Beijing China, Science Press, 2017: 1-994.
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