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Using redundant information in neural circuits biosensors

Keywords:

N. V. Selezneva – Dr.Sc. (Eng.), Professor, Moscow State University of Instrument Engineering and Computer Science


Man cannot exist without reliable information about the reality surrounding him. Complicated process of cognition failure information received by the senses signals. This is due to many reasons, including disabilities his senses. To obtain accurate and reliable information about the world in the human body made special payment methods informational failure senses. Structural unit of the nervous system, to process information in the human body, is a neuron that algebraically sums it received signals. Considered four levels of measurement information processing in humans. Processing of measurement data in the body has a hierarchical multi-level structure. At each level is solved strictly defined tasks, uses special methods and means to address them, their sources and reserve a priori information. At the first level signals are handled jointly receptors within each biosensor. Provisions of information at this level are formed by using multiple receptors having different governmental metrological properties. Identify redundant information is used directly in the neural circuits of biosensors to increase the accuracy and expansion of the range of measurements, reduction of dynamic errors and determine the derivatives of the measured parameters. An algorithm inertia compensation of visual perception in the retina of the human eye. At the second level information is processed, received from the same biosensors within each analyzer. Reserve information at this level is provided by the orientation of the axes sensitive axis of biosensors and their relative position in space. The results of processing the difference signals of biosensors are used to determine the parameters of the spatial orientation of a person, as well as control operation of these biosensors. An algorithm of formation of the volume of the cerebral cortex.
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