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V F Solomatin

Publications and source records attributed to V F Solomatin.

9 recordsLinked to original sources
PubMed2006

Cross-interval histograms for analysis of brain electrical activity.

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. Cross-interval histogram and cross-correlation histograms are compared. The method yields qualitatively new data on interactions between changes in biopotentials in different areas of the brain and allows rapid processes to be studied.

Brain↗
PubMedDate not supplied

[Analysis of interference in quasi-holographic neuronal models of memory].

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 correspond to the properties of brain memory. The random choice of weights providing the noncorrelatedness of separate recordings gives rise to disturbances. It was shown that in passing from a full-connected model to non-full-connected and semi-full-connected models, the disturbances increase and limitations arise. The degree of the increase in disturbances depends upon the type of the model, the methods of recording and methods of the use of the models, and the mechanisms of the origination of disturbances.

Holography↗
PubMedDate not supplied

[Analysis of disturbances in the three-layer model of associative memory: realization of path beating principle upon gradual changes in neuronal activity and transmission factors].

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 initial state and during the associative readout after recording the associations of input pairs and the association of the activity vector with the input-mark with two methods of recording. It was shown that (unlike quasiholographic models) in the beating model there arise hampering additions to the mathematical expectation, some of them being difficult to remove. Dispersive disturbances during vector recording considerably exceed the disturbances arising in quasiholographic models.

Algorithms↗
PubMedDate not supplied

[Crossintervalograms for analysis of electrical activity of the brain].

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 EEGextrema are given. The information validity of these crossintervalograms is demonstrated and their features are indicated. Comparison crossintervalograms with crosscorrelograms is performed. The possibilities of further development and applications of a method are specified. It is suggested that the method will be useful for investigation of operative interaction of brain subsystems.

Brain↗