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AUTOMATIC RECOGNITION OF VISUAL STIMULES BY SINGLE EVOKED POTENTIALS ON AN ELECTROENCEPHALOGRAM

Annotation

The necessity of increasing the efficiency of automatic classification of visual stimuli by single evoked potentials on the observer's electroencephalogram is substantiated. The factors affecting the accuracy of recognition of the type of presented visual stimuli (living/non-living, clear/blurred) are determined. A data processing algorithm is developed that makes it possible to identify significant differences in the amplitudes of single evoked potentials.

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