Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lyudmila I. Skiteva"'
Publikováno v:
Procedia Computer Science. 169:881-886
Cross-frequency coupling (CFC) is typical for the operation of neural networks from different areas of the brain. This, for example, can be characterized by “рacemaker” neurons activity, the structure of these part’s crust, etc. Thus, the high
Publikováno v:
BICA
Resting State (RS) is the basic state of human consciousness. Many neural networks of the brain in RS interact with each other. The same activity can be observed with a difficult cognitive load. Thus, RS reflects the whole dynamics of consciousness.
Autor:
V.V. Balaev, Vadim L. Ushakov, Boris M. Velichkovsky, Lyudmila I. Skiteva, V. M. Verkhlyutov, Maxim Sharaev, Alexei Osadtchi
Publikováno v:
BICA
In animal experiments, radial traveling waves have been recorded on the surface of the cortex. In humans, the recording by microelectrode matrices reveals only fragments of such waves. Our basic assumption is that the source of the EEG/MEG in the alp
Autor:
Anastasia Korosteleva, Vadim L. Ushakov, Vyacheslav A. Orlov, Boris M. Velichkovsky, Anna Zinina, Artemy Kotov, Sergey I. Kartashov, Denis G. Malakhov, Vera Zabotkina, Lyudmila I. Skiteva, Lyudmila Ya. Zaidelman
Publikováno v:
BICA
The goal of this work was to build semantic maps of the Russian language in the three-dimensional space of the neural network activity of the brain. For the construction of the maps, fMRI data were used that were recorded upon presentation to the sub
Contrasting Human Brain Responses to Literature Descriptions of Nature and to Technical Instructions
Autor:
Vera Zabotkina, Vadim L. Ushakov, Vyacheslav A. Orlov, Anna Zinina, Artemy Kotov, Boris M. Velichkovsky, Anastasia Korosteleva, Lyudmila I. Skiteva, Sergey I. Kartashov, Denis G. Malakhov, Lyudmila Ya. Zaidelman
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research II ISBN: 9783030013271
The problem of semantic mapping of the brain is one of the urgent problems in human neurocognitive studies. At the present time there are only few studies reported in the world literature, all of which are made on the material and with the participat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f69ba86b5a735a28ed9ec297b444c27
https://doi.org/10.1007/978-3-030-01328-8_34
https://doi.org/10.1007/978-3-030-01328-8_34
Autor:
Alexei V. Samsonovich, Anastasia Korosteleva, Vadim L. Ushakov, Vyacheslav A. Orlov, Lyudmila I. Skiteva, Sergey I. Kartashov, Denis G. Malakhov
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research II ISBN: 9783030013271
Functional magnetic resonance imaging (fMRI) is an effective non-invasive tool for exploration and analysis of brain functions. Here functional neural networks involved in behavioral motivations are studied using fMRI. It was found that behavioral co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edfe189a5b35430ee1f3cfa485b971a0
https://doi.org/10.1007/978-3-030-01328-8_33
https://doi.org/10.1007/978-3-030-01328-8_33
Autor:
V.V. Balaev, A. M. Ivanitsky, Lyudmila I. Skiteva, Alina Tetereva, Olga Martynova, Mikhail Atanov, Vadim L. Ushakov, Galina V. Portnova
Publikováno v:
Frontiers in Human Neuroscience, Vol 11 (2018)
ResearcherID
Frontiers in Human Neuroscience
ResearcherID
Frontiers in Human Neuroscience
Concurrent EEG and fMRI acquisitions in resting state showed a correlation between EEG power in various bands and spontaneous BOLD fluctuations. However, there is a lack of data on how changes in the complexity of brain dynamics derived from EEG refl
Autor:
Vera Zabotkina, Anastasia Korosteleva, L. Ya. Zaidelman, Sergey I. Kartashov, Lyudmila I. Skiteva, Denis G. Malakhov, Artemy Kotov, Vyacheslav A. Orlov, Anna Zinina, Vadim L. Ushakov, Boris M. Velichkovsky
Publikováno v:
International Journal of Psychophysiology. 131:S170