Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Vyacheslav Demin"'
Autor:
Nikita Prudnikov, Sergey Malakhov, Vsevolod Kulagin, Andrey Emelyanov, Sergey Chvalun, Vyacheslav Demin, Victor Erokhin
Publikováno v:
Biomimetics, Vol 8, Iss 2, p 189 (2023)
Reservoir computing systems are promising for application in bio-inspired neuromorphic networks as they allow the considerable reduction of training energy and time costs as well as an overall system complexity. Conductive three-dimensional structure
Externí odkaz:
https://doaj.org/article/fe38da90eece4f4d93fb658ccfdca2a1
Autor:
Alexey Mikhaylov, Alexey Pimashkin, Yana Pigareva, Svetlana Gerasimova, Evgeny Gryaznov, Sergey Shchanikov, Anton Zuev, Max Talanov, Igor Lavrov, Vyacheslav Demin, Victor Erokhin, Sergey Lobov, Irina Mukhina, Victor Kazantsev, Huaqiang Wu, Bernardo Spagnolo
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Here we provide a perspective concept of neurohybrid memristive chip based on the combination of living neural networks cultivated in microfluidic/microelectrode system, metal-oxide memristive devices or arrays integrated with mixed-signal CMOS layer
Externí odkaz:
https://doaj.org/article/f63d7eef990f4978967aa9860e34ff44
Publikováno v:
Mathematics, Vol 9, Iss 24, p 3237 (2021)
The problem with training spiking neural networks (SNNs) is relevant due to the ultra-low power consumption these networks could exhibit when implemented in neuromorphic hardware. The ongoing progress in the fabrication of memristors, a prospective b
Externí odkaz:
https://doaj.org/article/4ae0103f1c8447158cfc25764c2818c1
Autor:
Vyacheslav Demin, Dmitry Nekhaev
Publikováno v:
Frontiers in Neuroinformatics, Vol 12 (2018)
Spiking neural networks (SNNs) are believed to be highly computationally and energy efficient for specific neurochip hardware real-time solutions. However, there is a lack of learning algorithms for complex SNNs with recurrent connections, comparable
Externí odkaz:
https://doaj.org/article/83bdfeca07b74baf82adbfeda5e356c6
Autor:
Danila Vlasov, Roman Rybka, Alexander Sboev, Alexey Serenko, Anton Minnekhanov, Vyacheslav Demin
Publikováno v:
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::817db23d5c45ab11cb7b325c2a4451c2
https://doi.org/10.1109/dcna56428.2022.9923314
https://doi.org/10.1109/dcna56428.2022.9923314