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From June 4 to June 6, Head of the UNN PTRI laboratory Alexei Mikhailov took part as an invited expert in the work of the three-day intensive training school "Memristors - Devices, Models, Circuits and Applications", which was held at the Telecommunications Institute in Aveiro (Portugal).

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The training school was organized within the framework of the major European project COST (European Cooperation in Science and Technology) MemoCIS to coordinate interdisciplinary research and development aimed at creating memristive element base for a new technological revolution based on brain-like electronic systems capable of learning. The program of the school included thematic lectures on the theory of memristors and memristive systems, physical modeling and materials science and proposed applications of memristors. In addition, daily meetings of experts and school participants in a round table format were held. Dr. Mikhailov presented in his lectures the results of fundamental and applied research performed during the last 5 years by the multidisciplinary team of Lobachevsky University. These results were obtained jointly with the Russian (Sedakov NIIIS, SRC "Kurchatov Institute") and European partners from Greece, Portugal and Italy.

In addition to a detailed review of the current state of research in the field of memristors and memristive systems, the main content of the lectures was focused on physics and technology for fabricating membrane nanostructures and devices that provide a CMOS-compatible technological platform for the hardware implementation of new generations of neuromorphic and neurohybrid systems for solving relevant problems of artificial intelligence, neurorehabilitation and neuroprosthetics. One example of such systems is the adaptive neurointerface based on the memristive artificial neural network being developed within the framework of the Russian Science Foundation project. This network is intended to register, classify and stimulate in real time the bioelectric activity of living brain neuron cultures used to control robotic systems. Experts and participants of the training school showed their great interest in the results presented by Alexei Mikhailov, which confirms the international recognition of the UNN’s advances in this dynamically developing field of research.