Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Vyacheslav Yu. Musatov"'
Autor:
Vladimir A. Maksimenko, Semen A. Kurkin, Elena N. Pitsik, Vyacheslav Yu. Musatov, Anastasia E. Runnova, Tatyana Yu. Efremova, Alexander E. Hramov, Alexander N. Pisarchik
Publikováno v:
Complexity, Vol 2018 (2018)
We apply artificial neural network (ANN) for recognition and classification of electroencephalographic (EEG) patterns associated with motor imagery in untrained subjects. Classification accuracy is optimized by reducing complexity of input experiment
Externí odkaz:
https://doaj.org/article/37a406c8763d415ba6407aadb84c2ffc
Autor:
Alexander E. Hramov, Vladimir A. Maksimenko, Svetlana V. Pchelintseva, Anastasiya E. Runnova, Vadim V. Grubov, Vyacheslav Yu. Musatov, Maksim O. Zhuravlev, Alexey A. Koronovskii, Alexander N. Pisarchik
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
In order to classify different human brain states related to visual perception of ambiguous images, we use an artificial neural network (ANN) to analyze multichannel EEG. The classifier built on the basis of a multilayer perceptron achieves up to 95%
Externí odkaz:
https://doaj.org/article/57628eab393544dda4527910488b92b8
Autor:
A. M. Stepanov, Igor Egorov, Mikhail F. Stepanov, Svetlana Pchelintzeva, Vyacheslav Yu. Musatov
Publikováno v:
Studies in Systems, Decision and Control ISBN: 9783030325787
Autonomous anthropomorphous robots represent complicated hardware-software complexes designed to functioning in a changing external environment. Additional features of any particular robot are defined by its scope. Educational activity imposes tight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de9a159cb949c550408bb1dca4bbf576
https://doi.org/10.1007/978-3-030-32579-4_2
https://doi.org/10.1007/978-3-030-32579-4_2
Publikováno v:
Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::824668f973e7b8bbbbaf9ec365dec701
https://doi.org/10.2991/ahcs.k.191206.013
https://doi.org/10.2991/ahcs.k.191206.013
Autor:
Vyacheslav Yu. Musatov, Semen A. Kurkin, M. O. Zhuravlev, Anastasia E. Runnova, Vadim V. Grubov, Tatyana Yu. Efremova
Publikováno v:
Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63fe027ee930842eff7dc5829c56d33c
https://doi.org/10.1117/12.2315161
https://doi.org/10.1117/12.2315161
Autor:
Alexander E. Hramov, Alexey A. Koronovskii, Vyacheslav Yu. Musatov, Anastasija E. Runnova, Tatiana Efremova, Alexander N. Pisarchik
Publikováno v:
Saratov Fall Meeting 2017: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV.
In the paper we propose an approach based on artificial neural networks for recognition of different human brain states associated with distinct visual stimulus. Based on the developed numerical technique and the analysis of obtained experimental mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8d7796bf33753aff0580e57d4693044
https://doi.org/10.1117/12.2315140
https://doi.org/10.1117/12.2315140
Autor:
Svetlana V. Pchelintseva, Anastasiya E. Runnova, Vadim V. Grubov, Vyacheslav Yu. Musatov, Semen A. Kurkin
Publikováno v:
Dynamics and Fluctuations in Biomedical Photonics XV.
In this paper, we investigate the problem of identification of patterns on magnetoencephalography signals of a brain associated with human movements. The design of registration of experimental data during magnetoencephalography (MEG) is developed and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4a1a6052bc550aa524369fb1523c1ed
https://doi.org/10.1117/12.2291688
https://doi.org/10.1117/12.2291688
Autor:
Alexander E. Hramov, Elena Pitsik, Vyacheslav Yu. Musatov, Semen A. Kurkin, Anastasia E. Runnova
Publikováno v:
ICINCO (1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66cdb569c62f0d5633336ccebc4c33f7
https://doi.org/10.5220/0006860201760181
https://doi.org/10.5220/0006860201760181
Publikováno v:
Dynamics and Fluctuations in Biomedical Photonics XIV.
In the paper we study the problem of recognition type of the observed object, depending on the generated pattern and the registered EEG data. EEG recorded at the time of displaying cube Necker characterizes appropriate state of brain activity. As an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbd356a0046a47339b781c2101cdc770
https://doi.org/10.1117/12.2250001
https://doi.org/10.1117/12.2250001