Zobrazeno 1 - 10
of 16
pro vyhledávání: '"I A Bordanov"'
Publikováno v:
Telecommunications. :20-26
The article is devoted to the reliability of hardware implementation of artificial neural networks based on memristive devices (ANNM). On the basis of the system engineering methodology, the authors have developed a universal general approach to dete
Autor:
Dmitry Korolev, Anton Zuev, Alexey Belov, S.N. Danilin, Alexey Mikhaylov, I. A. Bordanov, S.A. Shchanikov
Publikováno v:
BioNanoScience. 11:84-90
One of the most prospective applications of artificial neural networks based on memristors (ANNMs) is the development of more compact, fast, and efficient neural interfaces. This goal is achievable, as the results of a literature survey and our own r
Autor:
D. V. Korolev, Valeri A. Makarov, E.G. Gryaznov, Victor B. Kazantsev, Alexey Mikhaylov, Alexey Belov, Maxim Shamshin, I. A. Bordanov, S.A. Shchanikov
Publikováno v:
2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN).
We propose a novel concept of a hardware implementation of high-dimensional neurons with the aim of a functional simulation of the human hippocampus. To implement a high-dimensional neuron, we suggest using the arrays of trainable memristive devices
Autor:
Yana Pigareva, Alexey Belov, Daniil Nikishov, I. A. Bordanov, Alexantrou Serb, Anton Zuev, S.A. Shchanikov, Alexey Mikhaylov, Alexey Pimashkin, Victor B. Kazantsev, S.N. Danilin, D. V. Korolev
Publikováno v:
2021 Third International Conference Neurotechnologies and Neurointerfaces (CNN).
Here we present the current results of our crossdisciplinary group in the field of design and hardware implementation of an artificial neural network based on memristors (ANNM), which is a component of a bidirectional adaptive neural interface for au
Autor:
I A Bordanov, A D Zuev, S N Danilin, V P Khranilov, E A Bukvarev, S Kim, E G Gryaznov, A N Mikhaylov, S A Shchanikov
Publikováno v:
Journal of Physics: Conference Series. 2316:012001
Here we present an analysis of the current state in the field of development of hardware accelerators of artificial intelligence (AI). Despite the fairly good progress made over the past decades, this area is experiencing a number of significant diff
Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network
Autor:
N. V. Malekhonova, K. E. Nikiruy, Davud V. Guseinov, Vyacheslav A. Demin, Mikhail V. Kovalchuk, S. A. Gerasimova, S.A. Shchanikov, Victor B. Kazantsev, Alexey Mikhaylov, Bernardo Spagnolo, Vladimir V. Rylkov, Igor A. Surazhevsky, I. A. Bordanov, Davide Valenti, Alexey Belov, A.I. Ilyasov, D. A. Pavlov, Andrey V. Emelyanov
We investigate the constructive role of an external noise signal, in the form of a low-rate Poisson sequence of pulses supplied to all inputs of a spiking neural network, consisting in maintaining for a long time or even recovering a memory trace (en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ace1f58a6624bcf7bebd0f64f16e9e6d
http://hdl.handle.net/10447/509843
http://hdl.handle.net/10447/509843
Autor:
S.A. Shchanikov, Yana Pigareva, Anton Zuev, Arseny Gladkov, Vitaly Lukoyanov, Alexey Belov, Alexey Pimashkin, Dmitry Korolev, Alexey Mikhaylov, I. A. Bordanov, Alexantrou Serb, S.N. Danilin, Victor B. Kazantsev
Building bidirectional biointerfaces is one of the key challenges of modern engineering and medicine, with dramatic potential impact on bioprosthetics. Two of the major challenges of biointerface design concern signal stability and power efficiency.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0141fc1b87acb0d305fadd083a24c0e8
https://eprints.soton.ac.uk/446607/
https://eprints.soton.ac.uk/446607/
Publikováno v:
Journal of Physics: Conference Series. 2096:012054
The materials of the article relate to the field of optimization of control systems and signal processing when preparing models for technical implementation. The informational level of structural and functional decomposition of models of approximator
Autor:
Alexey Pimashkin, Dmitry Korolev, Alexey Belov, Victor B. Kazantsev, S.A. Shchanikov, Anton Zuev, I. A. Bordanov, S.N. Danilin, Alexey Mikhaylov
Publikováno v:
DeSE
A key problem at hardware implementation of artificial neural networks based on memristors (ANNM) is to ensure the required accuracy of their operation at the transition from models to real fabricated memristive devices. Due to a number of factors, s
Publikováno v:
2018 Engineering and Telecommunication (EnT-MIPT).
The system approach to determining the fault tolerance of artificial neural networks (ANN) implementing with the use of a new electronic element named memristor is proposed in the article. The approach is invariant to an ANN architecture, a scheme of