Alexander Alexeevitch Frolov

IHNA, RAS, Moskva, Moscow, Russia 
computational neuroscience, neural networks, motor control
"Alexander Frolov"
Mean distance: 106866 (cluster 6)
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Frolov AA, Husek D, Polyakov PY. (2015) Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain. Ieee Transactions On Neural Networks and Learning Systems
Biryukova EV, Bril B, Frolov AA, et al. (2015) Movement kinematics as an index of the level of motor skill: the case of Indian craftsmen stone knapping. Motor Control. 19: 34-59
Basterrech S, Bobrov P, Frolov A, et al. (2015) Nature-inspired algorithms for selecting EEG sources for motor imagery based BCI Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 9120: 79-90
Kurgansky M, Frolov A, Ioffe M, et al. (2014) A comparative kinematic analysis of cyclical bending in patients with early stages of Parkinson's disease and in patients with essential tremor. Motor Control. 18: 331-46
Frolov AA, Husek D, Bobrov PD, et al. (2014) Localization of brain electrical activity sources and hemodynamic activity foci during motor imagery Human Physiology. 40: 273-283
Frolov AA, Husek D, Polyakov PY, et al. (2014) New BFA method based on attractor neural network and likelihood maximization Neurocomputing. 132: 14-29
Frolov AA, Husek D, Polyakov PY. (2014) Two expectation-maximization algorithms for boolean factor analysis Neurocomputing. 130: 83-97
Mokienko OA, Chernikova LA, Frolov AA, et al. (2014) Motor imagery and its practical application Neuroscience and Behavioral Physiology. 44: 483-489
Bobrov P, Frolov A, Husek D, et al. (2014) Clustering the Sources of EEG Activity during Motor Imagery by Attractor Neural Network with Increasing Activity (ANNIA) Advances in Intelligent Systems and Computing. 303: 183-191
Frolov AA, Húsek D, Snášel V, et al. (2014) Brain-computer interface based on motor imagery: The most relevant sources of electrical brain activity Advances in Intelligent Systems and Computing. 223: 153-163
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