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Simulation technology of differentiation mono-neuronal intra vesicular composition as a neuro exocytosis multiprocessing

Keywords:

A.V. Savelyev - Senior Research Scientist, Deputy Editor in Chief of the Journal «Neurocomputers: development, application», Director of the Patent agency «©Uniquely honest patenting» (Moscow) E-mail: gmkristo@rambler.ru


In the paper the original results of the concept of neural network modeling exocytosis neuron as a multi-organization phenomenon are described. The purpose is studying of the effect of mediators different types on the dynamic properties of the neurons electrical activity, developing and application for this special methods of information simulation. The sources of multiprocessing are determinated and this influence on the dynamic properties of neural responses at both the external and internal stimulation was simulated. The essential variation of the dynamic properties, depending on the type of mediator involved, as well as the impact of their cross-modal interactions is shown. The results may be useful for the development of a completely new design principles of self-organizing adaptive and reconfigurable computing systems open. Developed neural network simulation technology can be used to study the microscopic behavior of the neuron in the mediator level and as electro-neurostimulation provided complexly exposure, and the bionic applications for the development of computing and control engineering and technology of new generation. This work was financially supported by RHSF in grant № 15-03-00519а «Post-non-classic paradigm of artificial intellect».
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