Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Dušan Húsek"'
Publikováno v:
Neural Network World. 31:355-375
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf00d9f64184f5daa211eab28fce0466
https://doi.org/10.14311/nnw.2021.31.020
https://doi.org/10.14311/nnw.2021.31.020
Publikováno v:
Neuroscience and Behavioral Physiology. 50:845-855
We describe the most significant sources of electrophysiological brain activity identified during use of a brain–computer interface based on recognition of EEG patterns during imaginary movements. The main tool for identifying sources consisted of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34c94982b6c4534634544a4291947ac7
https://doi.org/10.1007/s11055-020-00977-0
https://doi.org/10.1007/s11055-020-00977-0
Publikováno v:
Journal of Signal and Information Processing. 11:75-102
The purpose of the research is to develop a universal algorithm for partial texture segmentation of any visual images. The main peculiarity of the proposed segmentation procedure is the extraction of only homogeneous fine-grained texture segments pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07577513bd921df451a412751c12ba3c
https://doi.org/10.4236/jsip.2020.114005
https://doi.org/10.4236/jsip.2020.114005
Publikováno v:
Neuroscience and Behavioral Physiology. 48:1158-1163
We describe here use of the Monte Carlo modeling method to specify the parameters of near infrared light propagation though the tissues of the head, which is needed for optimizing the operation of brain–computer interfaces. The studies used a four-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44c2549fb917ae7e3e5eb1cec366f7b3
https://doi.org/10.1007/s11055-018-0680-7
https://doi.org/10.1007/s11055-018-0680-7
Autor:
G A Aziatskaya, R. Kh. Luykmanov, Vaclav Snasel, I. R. Fedotova, Dušan Húsek, P. D. Bobrov, Alexander A. Frolov
Publikováno v:
Human Physiology. 43:501-511
This article considers the features of five electroencephalogram patterns that are most frequently extracted by the independent component analysis when subjects imagine the movement of their hands during the control of a brain–computer interface (B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ec04144e9af0d9c4cf69bfdc4dbf0f4
https://doi.org/10.1134/s036211971705005x
https://doi.org/10.1134/s036211971705005x
Publikováno v:
Neural Network World. 27:447-477
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4128a0ee9c5055b2232f25393cb5cf0
https://doi.org/10.14311/nnw.2017.27.024
https://doi.org/10.14311/nnw.2017.27.024
Autor:
P. D. Bobrov, Elena V. Biryukova, Alexey Alexandrov, Alexander A. Frolov, O. A. Mokienko, Dušan Húsek
Publikováno v:
Neural Network World. 27:107-137
Motor recovery in post{stroke and post{traumatic patients using exoskeleton controlled by the brain-computer interface (BCI) is a new and promising rehabilitation procedure. Its development is a multidisciplinary research, which requires the teamwork
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dee0d65e1b8d8153f356b14640bfdab
https://doi.org/10.14311/nnw.2017.27.006
https://doi.org/10.14311/nnw.2017.27.006
Publikováno v:
Human Physiology. 42:1-12
With the use of functional MRI (fMRI), we studied the changes in brain hemodynamic activity of healthy subjects during motor imagery training with the use brain-computer interface (BCI), which is based on the recognition of EEG patterns of imagined m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c162fdfacf2df1f4fded9c1e5a389c87
https://doi.org/10.1134/s0362119716010084
https://doi.org/10.1134/s0362119716010084
Autor:
Georg Hettich, Vittorio Lippi, Dušan Húsek, Alexander A. Frolov, Alexei Alexandrov, Thomas Mergner
Publikováno v:
Frontiers in Neurorobotics, Vol 11 (2017)
Frontiers in Neurorobotics
Frontiers in Neurorobotics
Control of a multi-body system in both robots and humans may face the problem of destabilizing dynamic coupling effects arising between linked body segments. The state of the art solutions in robotics are full state feedback controllers. For human hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80d1e6a92266aeee170d60903e614c1e
https://doi.org/10.3389/fnbot.2017.00022
https://doi.org/10.3389/fnbot.2017.00022
Publikováno v:
Neurocomputing. 132:14-29
What is suggested is a new approach to Boolean factor analysis, which is an extension of the previously proposed Boolean factor analysis method: Hopfield-like attractor neural network with increasing activity. We increased its applicability and robus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf96c7b1f8f722d815706cba94db19e3
https://doi.org/10.1016/j.neucom.2013.07.047
https://doi.org/10.1016/j.neucom.2013.07.047