V. F. Solomatin

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A method of construction of crossintervalograms for electroencephalograms is proposed. Particular points or EEG fragments of particular shape are used as time-locked events, and the intervals between these reference points are analyzed. The method is theoretically substantiated. Examples of crossintervalograms constructed for EEG extrema and derivative(More)
Many neuronal models of memory have been described in the literature [3-6, 8, 12, 17, 19, 22-29]. However, of all the investigations known to the wrlter, none had the aim of reproducing to the fullest possible extent the particular features of a conditioned reflex (CR) in such a model. Usually the writers concerned confined their attention to reproducing(More)
A method for constructing cross-interval histograms for time-localized EEG fragments of particular types is described. The basic principles of the method are presented. Examples of cross-interval histograms constructed for EEG extrema and their derivatives are presented. Cross-interval histograms were shown to include peaks, troughs, and other features.(More)
Autointervalograms of the extremums of human electroencephalograms (EEGs) recorded under periodic stimulation were analyzed. The method was compared with visual EEG analysis and EEG sinusoid testing. It was shown that, in most cases, the construction of intervalograms is as good as, or even better than, the other two methods, because it allows us to detect(More)
A model is considered in which the activity values, the weights of connections, and the transmission factors of neurons are positive, the connections are chosen by chance and are symmetric regarding the layer of associative neurons. Formulas were obtained for the mathematical expectation and the dispersion of activity values at the model outputs in the(More)
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