Zobrazeno 1 - 10
of 37
pro vyhledávání: '"D G, Shaposhnikov"'
Publikováno v:
Neuroscience and Behavioral Physiology. 52:431-438
Autor:
V. N. Kiroy, D. G. Shaposhnikov, O. M. Bakhtin, Anton Igorevich Saevskiy, I. E. Shepelev, D. M. Lazurenko
Publikováno v:
Optical Memory and Neural Networks. 30:26-36
The neural network-based approach to the classification of implicit emotional components in ordinary speech is considered. Mel-frequency cepstral coefficients were used as feature vectors, and the multilayer perceptron with one hidden layer was used
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6479e49fc43aadb1d72b89fa33881f4d
https://doi.org/10.1007/978-3-030-91581-0_8
https://doi.org/10.1007/978-3-030-91581-0_8
Autor:
I. E. Shepelev, Pavel Dmitrievich Shaposhnikov, V. N. Kiroy, D. M. Lazurenko, D. G. Shaposhnikov
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5354b7b45e74bf078e4778f55b5062e
https://doi.org/10.1007/978-3-030-91581-0_9
https://doi.org/10.1007/978-3-030-91581-0_9
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research V ISBN: 9783030915803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be0ec06dc5b751f5c169dfce9efe77a
https://doi.org/10.1007/978-3-030-91581-0_10
https://doi.org/10.1007/978-3-030-91581-0_10
Publikováno v:
Optical Memory and Neural Networks. 28:185-191
An overview of known works in active vision area and our recent results on application of the foveal visual preprocessor to detect the head motion parameters are presented. In overview, the main directions of research and development in the field of
Autor:
D. M. Lazurenko, V. N. Kiroy, D. G. Shaposhnikov, Arina V. Shustova, Igor V. Shcherban, Nikolay E. Kirilenko
Publikováno v:
SSRN Electronic Journal.
The study was aimed at developing a new automatic search technique for specific invariant patterns associated with the execution of voluntary motor activity (Readiness potentials, RP) reflected in multidimensional electroencephalogram (EEG) signals.
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research IV ISBN: 9783030605766
In this work experimental and neuroinformatic approaches to solve current problems in second-person neuroscience area are presented. This direction was called as second (multi)-person neuroscience in opposite one-person neuroscience. During very long
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7926e4c1994c0e35d9a0d93255ab822
https://doi.org/10.1007/978-3-030-60577-3_16
https://doi.org/10.1007/978-3-030-60577-3_16
Autor:
O. M. Bakhtin, Elena Krivko, D. M. Lazurenko, E. V. Aslanyan, D. G. Shaposhnikov, Igor V. Shcherban, V. N. Kiroy
Publikováno v:
Biomedical Signal Processing and Control. 71:103224
Although a significant number of studies have been devoted to the investigation of the electrographic correlates and neurophysiological mechanisms of spoken and inner (imagined) speech, there is a question on which EEG characteristics reflect its con
Autor:
V. N. Kiroi, D. G. Shaposhnikov, N. R. Minyaeva, O. M. Bakhtin, E. V. Aslanyan, D. M. Lazurenko
Publikováno v:
Neuroscience and Behavioral Physiology. 48:990-998
Correlates of predictive activity associated with observation of patterns in sequences of events were studied. Predictive cues consisted of fixed sequences of three stimuli preceding the appearance of a target (control) stimulus, to which the subject