V F Solomatin

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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)
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)
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)
Three-layer models with neural plasticity are considered. The weights of connections have both positive and negative values, which are chosen randomly with equal probability. The connections are symmetric relative to the layer of associative neurons. The models describe processes analogous to holographic ones, and the basic properties of the models(More)
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