S. A. Plotnikov

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We study synchronization in delay-coupled neural networks of heterogeneous nodes. It is well known that heterogeneities in the nodes hinder synchronization when becoming too large. We show that an adaptive tuning of the overall coupling strength can be used to counteract the effect of the heterogeneity. Our adaptive controller is demonstrated on ring(More)
On the basis of probit-analysis of results of treatment of 10,670 burned patients a prognostic model of the trauma outcome was created as a coordinate network. The model is very accurate, sensitive, specific and simple in use that allows it to be applied for prognosis of burn trauma outcomes in the early period after trauma, especially in organization of(More)
A grid for the determination of the probability of lethal outcomes on the basis of outcomes of treatment of 10 670 patients with thermal trauma was made using probit-analysis, intended for burn hospitals. Predictors of the outcome are the age and index of the injury severity. The prognostic model has good sensitivity, accuracy and specificity. The model(More)
We study synchronization in heterogeneous FitzHugh-Nagumo networks. It is well known that heterogeneities in the nodes hinder synchronization when becoming too large. Here we develop a controller to counteract the impact of these heterogeneities. We first analyze the stability of the equilibrium point in a ring network of heterogeneous nodes. We then derive(More)
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