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.