Zobrazeno 1 - 10 of 94 pro vyhledávání: '"Andrey V Emelyanov"'
1
Akademický článek
Combination of Organic‐Based Reservoir Computing and Spiking Neuromorphic Systems for a Robust and Efficient Pattern Classification
Autor: Anna N. Matsukatova, Nikita V. Prudnikov, Vsevolod A. Kulagin, Silvia Battistoni, Anton A. Minnekhanov, Andrey D. Trofimov, Aleksandr A. Nesmelov, Sergey A. Zavyalov, Yulia N. Malakhova, Matteo Parmeggiani, Alberto Ballesio, Simone Luigi Marasso, Sergey N. Chvalun, Vyacheslav A. Demin, Andrey V. Emelyanov, Victor Erokhin
Publikováno v: Advanced Intelligent Systems, Vol 5, Iss 6, Pp n/a-n/a (2023)
Nowadays, neuromorphic systems based on memristors are considered promising approaches to the hardware realization of artificial intelligence systems with efficient information processing. However, a major bottleneck in the physical implementation of
Externí odkaz: https://doaj.org/article/afe53d1d20d64d4897e6a0f78f99dadb
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2
Akademický článek
Memristive circuit-based model of central pattern generator to reproduce spinal neuronal activity in walking pattern
Autor: Dinar N. Masaev, Alina A. Suleimanova, Nikita V. Prudnikov, Mariia V. Serenko, Andrey V. Emelyanov, Vyacheslav A. Demin, Igor A. Lavrov, Max O. Talanov, Victor V. Erokhin
Publikováno v: Frontiers in Neuroscience, Vol 17 (2023)
Existing methods of neurorehabilitation include invasive or non-invasive stimulators that are usually simple digital generators with manually set parameters like pulse width, period, burst duration, and frequency of stimulation series. An obvious lac
Externí odkaz: https://doaj.org/article/292c6ece758542998bb12331d166e4b4
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3
Akademický článek
Convolutional Neural Network Based on Crossbar Arrays of (Co-Fe-B)x(LiNbO3)100−x Nanocomposite Memristors
Autor: Anna N. Matsukatova, Aleksandr I. Iliasov, Kristina E. Nikiruy, Elena V. Kukueva, Aleksandr L. Vasiliev, Boris V. Goncharov, Aleksandr V. Sitnikov, Maxim L. Zanaveskin, Aleksandr S. Bugaev, Vyacheslav A. Demin, Vladimir V. Rylkov, Andrey V. Emelyanov
Publikováno v: Nanomaterials, Vol 12, Iss 19, p 3455 (2022)
Convolutional neural networks (CNNs) have been widely used in image recognition and processing tasks. Memristor-based CNNs accumulate the advantages of emerging memristive devices, such as nanometer critical dimensions, low power consumption, and fun
Externí odkaz: https://doaj.org/article/7db577f9447f464c890685f1881e4389
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7
Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network
Autor: Dmitry V. Nekhaev, Andrey V. Emelyanov, Mikhail V. Kovalchuk, Vladimir V. Rylkov, Vyacheslav A. Demin, Igor A. Surazhevsky, K. E. Nikiruy, Sergey Nikolaev
Publikováno v: Neural Networks. 134:64-75
This work is aimed to study experimental and theoretical approaches for searching effective local training rules for unsupervised pattern recognition by high-performance memristor-based Spiking Neural Networks (SNNs). First, the possibility of weight
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08b6a94ce6d7e9339999f468b3592d66
https://doi.org/10.1016/j.neunet.2020.11.005
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8
Resistive Switching of Memristors Based on (Co40Fe40B20)x(LiNbO3)100 – x Nanocomposite with a LiNbO3 Interlayer: Plasticity and Time Characteristics
Autor: Andrey V. Emelyanov, A. A. Minnekhanov, Sergey Nikolaev, V. V. Rylkov, A. V. Sitnikov, A. N. Matsukatova, A. S. Vedeneev, K. Yu. Chernoglazov, V. A. Levanov, K. E. Nikiruy, A. S. Bugaev
Publikováno v: Journal of Communications Technology and Electronics. 65:1198-1203
The resistive switching (RS) of metal/nanocomposite/metal (M/NC/M) memristive structures based on the (Co40Fe40B20)x(LiNbO3)100 – x nanocomposite with a ferromagnetic alloy content х ≈ 8–20 at % is studied. The structures were synthesized by i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b03e50cfe98105fa13eb491430c710b4
https://doi.org/10.1134/s1064226920090077
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9
Second-Order Nanoscale Thermal Effects in Memristive Structures Based on Poly-p-Xylylene
Autor: V. V. Rylkov, A. A. Minnekhanov, A. N. Matsukatova, Vyacheslav A. Demin, Pavel A. Forsh, Pavel K. Kashkarov, Andrey V. Emelyanov
Publikováno v: JETP Letters. 112:357-363
Effects of second-order resistive switching in memristors based on poly-p-xylylene have been detected for the first time. It has been shown that these memristive structures constitute a dynamic system whose behavior significantly depends on second-or
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c8bc96626f78388f46416a57040ee4d
https://doi.org/10.1134/s0021364020180071
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10
Memristors Based on Nanoscale Layers LiNbO3 and (Co40Fe40B20)x(LiNbO3)100 – x
Autor: Vyacheslav A. Demin, V. V. Rylkov, Andrey V. Emelyanov, K. E. Nikiruy, A. V. Sitnikov, A. I. Iliasov
Publikováno v: Physics of the Solid State. 62:1732-1735
The memristive properties of layered capacitor structures based on a (Co40Fe40B20)x(LiNbO3)100 – x nanocomposite and LiNbO3 with thicknesses of 10 and 40 nm, respectively, are studied. There was a sharp transition from a single-filament to multi-fi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3878fe460052bc24ae302ac685a9d318
https://doi.org/10.1134/s1063783420090218
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