350 rub
Journal Biomedical Radioelectronics №6 for 2015 г.
Article in number:
The discovery of the neurophysical vortices in a nervous system
Authors:
A.V. Savelyev - Senior Research Scientist, Director of the Patent agency «©Uniquely honest patenting» (Moscow). E-mail: gmkristo@rambler.ru
Abstract:
The paper presents the results of a detailed original propagation neural network modeling spikes as the electro-chemical phenomena in myelinated axons in the amount of axon. Showed vortex nature of the distribution of ion currents and the corresponding electromagnetic fields propagating spikes. It turns role in this multi-component spike caused by the blast of initial segments of the organization. Given neurobiological evidence for the simulation results. This is very important in understanding the development of relevant pathologies, including Alzheimer's and Parkinson's diseases. In this part of the paper, further results of differential and cross-sectional modeling neurological spike, the results contribution of the discrete generation spike in its eddies are shown. Also, based on these results, data analytical and conceptual modeling retraction of myelin and the interaction of electromagnetic fields with oligodendroglioma are obtained. The results of new studies of previously unknown causes and the fundamental laws of neurophysiological dy-namics of myelination of the nervous tissue, and human morphogenetic rearrangements myelin sheaths, including their genesis, retraction and maintaining a stable state. Laws are due to thin, features previously not taken into account the actual processes of propagation of nerve impulses along the axons of neurons, with electro-bio-сhemistries mechanisms determining the specificity of the spiral structure of myelin sheaths of axons. It will be of great importance for the diagnosis, prevention, treatment of degenerative diseases of the nervous system and effective rehabilitation after suffering illnesses, injuries, etc., as well as to develop new drugs, physiotherapy techniques and equipment. This work was supported financially by RFH in grant № 15-03-00519а «Post-non-classic paradigm of artificial intel-lect».
Pages: 26-34
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