The site presents the development of the author in collaboration with the team of the laboratory in the field of neural network technologies and oxide electronics, as well as other developments of the author in the field of education and automation.
In this section you can read about the scientific achievements of the oxide electronics laboratory
Techxplore NEWSBREAK Thetechstreetnow https://www.youtube.com/watch?v=htr08x_RyN8 A scientist from Russia has developed a new neural network architecture and tested its learning ability on the recognition of handwritten digits. The intelligence of the network was amplified by chaos, ....
In this video, I will tell about the algorithm for calculating simple feedforward neural network, and about the backpropagation of errors algorithm for neural network training. https://youtu.be/1aC_tEPP4-Y The simplest neural network circuit is shown in ....
Choose a color scheme: White numbers on a black background Black numbers on a white background Red numbers on a white background Click on the image of the digit to download the SVG image file. ....
We implement a capacitorless model of a VO2 oscillator by introducing into the circuit of a field-effect transistor and a VO2 thermal sensor, which provide negative current feedback with a time delay. We compare the ....
by Petr Boriskov and Andrei Velichko Electronics2019, 8(9), 922; https://doi.org/10.3390/electronics8090922 - 22 Aug 2019 The circuits, presented in the article, are implemented in the MathCAD and LTSpice software packages, and source files are available in Supplementary Materials.
This paper presents a new method for evaluating the synchronization of quasi-periodic oscillations of two oscillators, termed “chimeric synchronization”. The family of metrics is proposed to create a neural network information converter based on a ....
In 2018, we conducted theoretical and experimental research activities on the methods development for oscillatory neural networks’ operations (networks training), for such applications as pattern storing and pattern recognition, information coding. The synchronization effects in ....
Electronics 2019, 8(1), 75; https://doi.org/10.3390/electronics8010075 Abstract The current study uses a novel method of multilevel neurons and high order synchronization effects described by a family of special metrics, for pattern recognition in an oscillatory neural network (ONN). ....
The effect of the time delay of thermal coupling on the synchronization of two VO2-oscillators has been studied for the first time. A modification of the methods for determining high order synchronization parameters has been ....
Please follow the link and read the full text of the article published in the journal Electronics. Development of neuromorphic systems based on new nanoelectronics materials and devices is of immediate interest for solving the ....