Zobrazeno 1 - 10
of 481
pro vyhledávání: '"A. E. Hramov"'
Autor:
A. V. Andreev, A. G. Balanov, T. M. Fromhold, M. T. Greenaway, A. E. Hramov, W. Li, V. V. Makarov, A. M. Zagoskin
Publikováno v:
npj Quantum Information, Vol 7, Iss 1, Pp 1-7 (2021)
Abstract Progress in the creation of large-scale, artificial quantum coherent structures demands the investigation of their nonequilibrium dynamics when strong interactions, even between remote parts, are non-perturbative. Analysis of multiparticle q
Externí odkaz:
https://doaj.org/article/41a8f0b539c54629beacc4d4055edc7a
Autor:
Vadim V. Grubov, Sergei I. Nazarikov, Semen A. Kurkin, Nikita P. Utyashev, Denis A. Andrikov, Oleg E. Karpov, Alexander E. Hramov
Publikováno v:
IEEE Access, Vol 12, Pp 122168-122182 (2024)
Many approaches to automated epileptic seizure detection share a common challenge — the trade-off between recall and precision. This study aims to develop a novel approach for reducing false positive predictions in seizure detection tasks applied t
Externí odkaz:
https://doaj.org/article/e3e3b0f4523f46a2977338c7fdcfff30
Autor:
Vadim V. Grubov, Marina V. Khramova, Sergey Goman, Artem A. Badarin, Semen A. Kurkin, Denis A. Andrikov, Elena Pitsik, Vladimir Antipov, Elena Petushok, Nikita Brusinskii, Tatyana Bukina, Alexander A. Fedorov, Alexander E. Hramov
Publikováno v:
IEEE Access, Vol 12, Pp 49034-49049 (2024)
Neuroeducation seeks to implement knowledge about neural mechanisms of learning into educational practice and to understand the impact of learning itself. The crucial tasks in this field are to evaluate and to enhance cognitive abilities, that are us
Externí odkaz:
https://doaj.org/article/da0209b9b46f408f9a1085189e3d3723
Autor:
Marina V. Khramova, Tatyana V. Bukina, Nikita M. Smirnov, Semen A. Kurkin, Alexander E. Hramov
Publikováno v:
Humanities & Social Sciences Communications, Vol 10, Iss 1, Pp 1-14 (2023)
Abstract Recent studies have shown that the knowledge of society about the functioning of the brain does not correspond to neuroscience data. The high prevalence of neuromyths can become a problem in the development of educational technologies. The g
Externí odkaz:
https://doaj.org/article/b464b1d0584c44a59a547b1e3a37eddd
Publikováno v:
Вопросы образования, Iss 4 (2023)
Modern neuroscience is making significant progress in the study of brain functions, which can be of great importance for the education. However, there is a gap between current neuroscientific evidence on how the brain learns and its direct applicatio
Externí odkaz:
https://doaj.org/article/eb4de974638d42b9ae2d2bb129d7c968
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Coherent activations of brain neuron networks underlie many physiological functions associated with various behavioral states. These synchronous fluctuations in the electrical activity of the brain are also referred to as brain rhythms. At t
Externí odkaz:
https://doaj.org/article/20df81de11894420acdd7aa8559f5ac5
Autor:
Oleg E. Karpov, Vadim V. Grubov, Vladimir A. Maksimenko, Semen A. Kurkin, Nikita M. Smirnov, Nikita P. Utyashev, Denis A. Andrikov, Natalia N. Shusharina, Alexander E. Hramov
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Epilepsy is one of the brightest manifestations of extreme behavior in living systems. Extreme epileptic events are seizures, that arise suddenly and unpredictably. Usually, treatment strategies start by analyzing brain activity during the s
Externí odkaz:
https://doaj.org/article/d24f930abce241a790b4dfbc5ba4ab58
Publikováno v:
Mathematics, Vol 11, Iss 11, p 2515 (2023)
Applying machine learning algorithms to graph-structured data has garnered significant attention in recent years due to the prevalence of inherent graph structures in real-life datasets. However, the direct application of traditional deep learning al
Externí odkaz:
https://doaj.org/article/374da7c000c44f32b61b135e3b3e050f
Autor:
Semen Kurkin, Susanna Gordleeva, Andrey Savosenkov, Nikita Grigorev, Nikita Smirnov, Vadim V. Grubov, Anna Udoratina, Vladimir Maksimenko, Victor Kazantsev, Alexander E. Hramov
Publikováno v:
Sensors, Vol 23, Iss 10, p 4661 (2023)
Experiments show activation of the left dorsolateral prefrontal cortex (DLPFC) in motor imagery (MI) tasks, but its functional role requires further investigation. Here, we address this issue by applying repetitive transcranial magnetic stimulation (
Externí odkaz:
https://doaj.org/article/6cb454eb560b4b4f85d7021ded18320d
Evaluation of Unsupervised Anomaly Detection Techniques in Labelling Epileptic Seizures on Human EEG
Autor:
Oleg E. Karpov, Matvey S. Khoymov, Vladimir A. Maksimenko, Vadim V. Grubov, Nikita Utyashev, Denis A. Andrikov, Semen A. Kurkin, Alexander E. Hramov
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5655 (2023)
Automated labelling of epileptic seizures on electroencephalograms is an essential interdisciplinary task of diagnostics. Traditional machine learning approaches operate in a supervised fashion requiring complex pre-processing procedures that are usu
Externí odkaz:
https://doaj.org/article/596e7f0b6185419c8a757dafed7e53bf