Brain–Computer Interfaces: Neurophysiological Bases and Clinical Applications A. A. FrolovP. D. Bobrov SPECIAL ISSUE: BRAIN–COMPUTER INTERFACE 23 November 2018 Pages: 1033 - 1040
Methods and Approaches to Optimizing Control Using a Brain–Computer Interface System by Healthy Subjects and Patients with Motor Disorders E. V. BobrovaA. A. FrolovV. V. Reshetnikova REVIEWS AND THEORETICAL ARTICLES 22 November 2018 Pages: 1041 - 1052
Use of Robotic Devices in Post-Stroke Rehabilitation A. A. FrolovI. B. KozlovskayaP. D. Bobrov OriginalPaper 22 November 2018 Pages: 1053 - 1066
A Motor Imagery-Based Brain–Computer Interface with Vibrotactile Stimuli S. P. LiburkinaA. N. VasilyevA. Ya. Kaplan PHYSIOLOGY OF HIGHER NERVOUS (MENTAL) ACTIVITY IN HUMANS 22 November 2018 Pages: 1067 - 1077
Electrographic Properties of Movement-Related Potentials D. M. LazurenkoV. N. KiroyN. R. Minyaeva OriginalPaper 23 November 2018 Pages: 1078 - 1087
Recovery Dynamics in Patients with Poststroke Motor Disorders after Multiple Courses of Neurorehabilitation Using an Exoskeleton Controlled by a Brain–Computer Interface S. V. KotovL. G. TurbinaE. V. Biryukova OriginalPaper 23 November 2018 Pages: 1088 - 1092
Properties of EEG Responses to Emotionally Significant Stimuli Using a P300 Wave-Based Brain–Computer Interface I. P. GaninE. A. KosichenkoA. Ya. Kaplan OriginalPaper 23 November 2018 Pages: 1093 - 1099
Use of a BCI-Exoskeleton Simulator with Multichannel Biofeedback in a Multidisciplinary Rehabilitation Program in Poststroke Patients G. E. IvanovaYu. V. BushkovaF. A. Bushkov OriginalPaper 22 November 2018 Pages: 1100 - 1105
Dynamics of the Cortical Motor Representation of the Extensor Digitorum Communis Muscle after Motor Imagery Training Using a Brain–Computer Interface: a Controlled Study A. G. PoydashevaG. A. AziatskayaM. A. Piradov PHYSIOLOGY OF BEHAVIOR, LEARNING, AND MEMORY 23 November 2018 Pages: 1106 - 1113
Effects of Emotional Stability on Success in Learning to Control a Brain–Computer Interface E. V. BobrovaV. V. ReshetnikovaA. A. Frolov OriginalPaper 23 November 2018 Pages: 1114 - 1119
A Model Device for Real-Time Monitoring of Cognitive Activity in Humans (the “Cognovisor”) I. V. TarotinM. S. AtanovG. A. Ivanitsky METHODS 23 November 2018 Pages: 1120 - 1127
The Brain–Computer Interface: Experience of Construction, Use, and Potential Routes to Improving Performance K. V. VolkovaN. I. DagaevA. E. Osadchiy OriginalPaper 22 November 2018 Pages: 1128 - 1139
A Comparison of Classifiers in a Task Consisting of Classifying Single Visual Event-Related Cortical Potentials in Humans S. N. AgapovV. A. BulanovM. S. Sergeeva OriginalPaper 23 November 2018 Pages: 1140 - 1144
A Novel Neural Network Approach to Creating a Brain–Computer Interface Based on the EEG Patterns of Voluntary Muscle Movements I. E. ShepelevD. M. LazurenkoN. R. Minyaeva OriginalPaper 22 November 2018 Pages: 1145 - 1157
Modeling Light Propagation through the Tissues of the Head Taking Account of Scattering Anisotropy to Optimize the Positioning of Irradiation Detectors and Sources in a Brain–Computer Interface Based on Near Infrared Spectroscopy M. R. IsaevV. V. OganesyanV. Snasel OriginalPaper 22 November 2018 Pages: 1158 - 1163
Comparison of Results Obtained Using Brain–Computer Interface Classifiers in a Motor Imagery Recognition Task V. V. OganesyanS. N. AgapovE. V. Biryukova OriginalPaper 22 November 2018 Pages: 1164 - 1168