BioInfoPhysics Models of Neuronal Signal Processes Based on Theories of Electromagnetic Fields

Abstract

Problem statement:The aphasia is one of human language and action related brain associative diseases. The mechanisms of the diseases and the brain association are still unclear. In this study, we proposed our models of the neuronal signal processes, in a view of BioInforPhysics, to understand the mechanisms. Approach: Our models are based on today's solidest Electromagnetic Fields (EMF) theoretic fundamentals: Maxwell EMF equations, Poynting theorem and vector, Lorentz law and other well known EMF principles, as well as published biomedical data. Methods cover the signal collections and analysis, correlations and synthesis; the correlations include functions derivatives as well as the functions. Results: (a) The signals have three attributes (or elements): the information, the energies and the matters; (b) the fields intensities are the Information Intensities (II), products of the II are the Information Response Intensities (IRI) of energies expressions, products of the II and the matters (charges) are the IRI of forces expressions; (c) the information can produce the new information; (d) the energies can carry or (and) transmit the information; (e) the matters (charges) can store and produce the information. The EMF information is not conservative in biological fluids because of the charges or the attenuation of the II. Our models in this study are the signals oriented and combine the information, the energies and the matters. Conclusion: Approximately, neurons work like microcomputers; the synapses work like signal input interfaces and perform the signal collections and analysis; the neuronal bodies work like microprocessors and execute the signal correlations and synthesis in parallel; DNA, RNA, proteins and other cellular components work like memories or circuits; the axons work like signal output interfaces and segregate the signal stream to other neurons. The all processes in the neurons and the nervous system are automatically completed by the natural laws. We intended to approach the natural laws with our models.

Modeling health oriented lifelong learning (HOLL) to prevent, delay and/or treat aging or aged dementias caused by less mentally stimulating activities

“…We use published clinic trial data [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] and our previous published models of brain memories [19,20], meridian channels [21,22] as well as theories of biochemistry, learning [23,24] and artificial neural network (ANN) [25,26].…”

“…We previously proposed models to investigate Alzheimer's disease caused by neuron degeneration [19] and neuronal signal processes [20] based on theories of electromagnetic fields, in a perspective of biomedical and biochemical info physics [18].…”

The Triune Brain: Limbic Mind Mind Plastic, Emotional Mind

“…Are known examples of plasticity induced by some hundreds of years, but awareness of their value as research tools is relatively new. Even (LeDoux, 1998;Phillip et al, 2008;MacFabe et al, 2008;Cheng and Zou, 2010) states that the mind feels and thinks only devoting a large part of their studies to the understanding of how the brain perceives the emotionally relevant stimuli, how the experiences are encoded and how our conscious feelings emerge from unconscious processes. Separating the emotion from cognition, it becomes very artificial channel according to this study we pursued and treated experimentally.…”

Information Models of Acupuncture Analgesia and Meridian Channels

“…In an electric field (EF) expression, we described II, IRI and IF in terms of the electric field intensity (EFI), the electric field force (EFF) (or energy (EFE)) and the electric field flux, respectively, to associate the terms in information and the terms in physics. In the framework of biomedical information, we modeled different levels of information: from ions to a nervous system [33][34][35]. To associate information, energy and matter, we defined three important attributes (or elements) of a signal: information intensity (default), energies and matters; and linked together these three important attributes in our most recent study [35].…”

“…In the framework of biomedical information, we modeled different levels of information: from ions to a nervous system [33][34][35]. To associate information, energy and matter, we defined three important attributes (or elements) of a signal: information intensity (default), energies and matters; and linked together these three important attributes in our most recent study [35]. We also modeled encoding, transmitting, coupling, decoding and processing of biomedical information in our previous studies [34][35][36][37].…”