Zobrazeno 1 - 10 of 13 pro vyhledávání: '"I. E. Shepelev"'
1
A Novel Neural Network-Based Approach to Classification of Implicit Emotional Components in Ordinary Speech
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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::db729163cbd6e230b174d39d91e6e260
https://doi.org/10.3103/s1060992x21010057
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4
Tracking of informative gamma frequency range in local field potentials of anesthetized rat olfactory bulb for odor discrimination
Autor: V. N. Kiroy, Alexey Smolikov, Petr Kosenko, I. E. Shepelev, Igor Scherban, Anton Igorevich Saevskiy
Publikováno v: Biomedical Signal Processing and Control. 71:103139
The study of responses in the local field potentials (LFP) of the olfactory bulb (OB) induced by odorants’ presentation is one of the intensively developing trends in the olfactory perception research. These studies are often aimed at solving the p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b0620f4be87bb1b36f54dd60a255476
https://doi.org/10.1016/j.bspc.2021.103139
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5
Electrographic Properties of Movement-Related Potentials
Autor: V. N. Kiroy, E. V. Aslanyan, O. M. Bakhtin, N. R. Minyaeva, I. E. Shepelev, D. M. Lazurenko
Publikováno v: Neuroscience and Behavioral Physiology. 48:1078-1087
The amplitude and spectral characteristics of the EEG recorded in 24 essentially healthy subjects during real and mental performance of hand, leg, and tongue movements were studied. Execution of movements was found to be accompanied by increases in t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8839f5e6e5c900b57f46d44c9c007e86
https://doi.org/10.1007/s11055-018-0670-9
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6
A Novel Neural Network Approach to Creating a Brain–Computer Interface Based on the EEG Patterns of Voluntary Muscle Movements
Autor: N. R. Minyaeva, I. E. Shepelev, O. M. Bakhtin, D. M. Lazurenko, V. N. Kiroy, E. V. Aslanyan
Publikováno v: Neuroscience and Behavioral Physiology. 48:1145-1157
A novel neural network approach to the real-time detection and classification of temporospatial EEG patterns accompanying performance of motor imagery (imaginary movements) based on a local approximation method using radial basis functions and an ori
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bbf858b0fd4c27e571b82778c3253ce0
https://doi.org/10.1007/s11055-018-0679-0
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7
Comparing ambient temperature account methods in neural network based city short-term load forecasting
Autor: S. O. Gubsky, I. I. Nadtoka, S. A. Vyalkova, I. E. Shepelev
Publikováno v: Optical Memory and Neural Networks. 24:220-229
We offer a neural network model for forecasting the next day's hourly electric load of a city. We use a few ambient temperature account methods in the research to see how each of them affects the forecasting accuracy. Optimal meta-parameters are dete
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::45e9209e9e660b37f57c876e5a2a2cad
https://doi.org/10.3103/s1060992x15030108
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8
Changes in EEG spectral characteristics in the course of neurofeedback training
Autor: V. N. Kiroy, N. R. Minyaeva, I. E. Shepelev, B. M. Vladimirskiy, E. V. Aslanyan, D. M. Lazurenko, D. G. Shaposhnikov, O. M. Bakhtin
Publikováno v: Human Physiology. 41:269-279
Spectral power (SP) ratios of the EEG α and β frequencies were used as neurofeedback (NFB) for ten apparently healthy subjects (university students) to control a computer cursor in a graphic interface in three scenarios. The results showed that the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d82449621b4e56eafa14d5bed005ef45
https://doi.org/10.1134/s0362119715030081
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9
Identification of the hierarchical data structure
Autor: I. E. Shepelev
Publikováno v: Pattern Recognition and Image Analysis. 21:211-214
The task of identifying a hierarchical data structure is considered for the example of the problem of identifying personalizing reference characteristics. A model of a neural network based on radial basis functions is proposed as a possible solution
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::42924384f90977521673498a01933766
https://doi.org/10.1134/s1054661811020994
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10
[Changes in the Spectral Characteristics of EEG during Neurofeedback Training]
Autor: V N, Kiroy, D M, Lazurenko, I E, Shepelev, N R, Minyaeva, E V, Aslanyan, O M, Bakhtin, D G, Shaposhnikov, B M, Vladimirskiy
Publikováno v: Fiziologiia cheloveka. 41(3)
We used the ratio of spectral characteristics of the EEG alpha and beta frequencies recorded in 10 apparently healthy subjects (university students) to control a computer cursor in the graphic interface in three scenarios with the use of neurofeedbac
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::3535438bed9e3c00f7b407fd4c1fc716
https://pubmed.ncbi.nlm.nih.gov/26237948
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