Zobrazeno 1 - 10
of 229
pro vyhledávání: '"Boriskov, P. P."'
In this study a new method for analyzing synchronization in oscillator systems is proposed using the example of modeling the dynamics of a circuit of two resistively coupled pulse oscillators. The dynamic characteristic of synchronization is fuzzy en
Externí odkaz:
http://arxiv.org/abs/2406.12906
Publikováno v:
Sensors 2023, 23, 7137
The study presents a bio-inspired chaos sensor model based on the perceptron neural network for the estimation of entropy of spike train in neurodynamic systems. After training, the sensor on perceptron, having 50 neurons in the hidden layer and 1 ne
Externí odkaz:
http://arxiv.org/abs/2306.01991
Publikováno v:
Phys. Status Solidi B, 247, No.9, 2213-2217, (2010)
The electrical conductivity of the switching channel of vanadium dioxide thin-film sandwich structures is studied over a wide temperature range (15-300 K). It is shown that the electrical resistance of the channel varies with temperature as R~exp(aT-
Externí odkaz:
http://arxiv.org/abs/2001.03053
Autor:
Velichko, Andrei, Boriskov, Petr
The study presents an oscillator circuit for a spike neural network with the possibility of firing rate coding and sigmoid-like activation function. The circuit contains a switching element with an S-shaped current-voltage characteristic and two capa
Externí odkaz:
http://arxiv.org/abs/1911.10351
Autor:
Boriskov, Petr, Velichko, Andrei
Publikováno v:
Electronics 2019, 8(9), 922
In this paper, we present circuit solutions based on a switch element with the S-type I-V characteristic implemented using the classic FitzHugh-Nagumo and FitzHugh-Rinzel models. Using the proposed simplified electrical circuits allows the modeling o
Externí odkaz:
http://arxiv.org/abs/1908.01855
Publikováno v:
Известия Саратовского университета. Новая серия: Серия Химия. Биология. Экология, Vol 23, Iss 1, Pp 70-76 (2023)
The search for new technologies for the purification of natural and waste water does not lose its relevance. Biologically, heavy metals are among the most dangerous pollutants. The highest toxicity among them has cadmium, causing serious environmenta
Externí odkaz:
https://doaj.org/article/c746c3e07ac14425a9853eb96470c361
Autor:
L. A. Bokeria, A. I. Kim, M. M. Zelenikin, A. A. Avramenko, B. G. Alekyan, V. A. Belov, V. N. Bogdanov, M. V. Boriskov, N. A. Borisova, A. G. Brodsky, S. S. Volkov, R. Yu. Gavrilov, O. I. Garmash, I. V. Gladyshev, T. F. Golubova, K. V. Gorbatikov, Yu. N. Gorbatykh, S. V. Gorbachevsky, A. M. Grigoryan, L. V. Eliseeva, A. V. Yevtushenko, O. B. Irtyuga, I. A. Kovalev, M. I. Komissarov, E. V. Krivoshchekov, S. M. Krupyanko, A. A. Kupryashov, A. V. Kurganova, E. G. Levchenko, A. A. Lezhnev, V. N. Lyubchik, T. V. Martynyuk, R. R. Movsesyan, K. A. Nalimov, A. B. Nikiforov, D. Yu. Petrushenko, M. V. Plotnikov, A. Yu. Podoksenov, M. G. Pursanov, A. A. Svobodov, E. G. Semenyak, Y. S. Sinelnikov, V. P. Tataurova, P. V. Teplov, I. I. Trunina, A. E. Chernogrivov, R. M. Shekhmametyev, E. V. Shlyakhto, A. A. Shmalts, A. N. Yakovleva, S. A. Alexandrova, I. Yu. Baryshnikova, T. A. Bergen, I. E. Rychina, V. E. Sinitsyn, L. A. Yurpolskaya
Publikováno v:
Российский кардиологический журнал, Vol 28, Iss 8 (2023)
Association of Cardiovascular Surgeons of Russia Russian Society of Cardiology (RSC)Association of Pediatric Cardiologists of RussiaRussian Scientific Society of Specialists in X-Ray Endovascular Diagnostics and TreatmentAll-Russian Public Organizati
Externí odkaz:
https://doaj.org/article/085a8a91f64a4123a06622ad57d34c34
Publikováno v:
Electronics 2019, 8(1), 75
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 output oscillator (neuron) of the network
Externí odkaz:
http://arxiv.org/abs/1806.03079
Computational modelling of two- and three-oscillator schemes with thermally coupled $VO_2$-switches is used to demonstrate a novel method of pattern storage and recognition in an impulse oscillator neural network (ONN) based on the high-order synchro
Externí odkaz:
http://arxiv.org/abs/1805.08737
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