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Articles 25
- Development dry type resistive-capacitive electrodes for use in wearable portable brain-computer interfaces pp. 61-76
- Development of a methodology for configuring the parameters of the brain-computer interfaces for conducting experiments on the classification of motor images in the OpenVIBE program pp. 15-30
- Evaluation of speed for brain-computer interface implemented with a hybrid intellect pp. 30-40
- Information streams at formation of the additional channel of feedback for the brain-computer interface pp. 34-40
- Evaluation of speed for brain-computer interface im-plemented with a hybrid intellect pp. 61-70
- The method of the acceleration information transfer in the brain-computer interfaces (BCI) working which based on assessment rate symbol series pp. 51-58
- Brain-computer interface: physiological aspects and clinical implementation pp. 44-56
- Technology for development of virtual reality systems based on brain-computer interface with utilization of cloud computing environment pp. 23-29
- Using symbol matrix in paradigm of brain-computer interface based on analysis of visual event related potential components pp. 25-32
- Neural network classifier designing for brain-computer interface pp. 4-10
- Development of the implantable brain–computer interface prototype with a wireless data and power transfer system pp. 103-109
- Theoretical and practical bases of design options for passive resistive capacitive electrodes for use in asynchronous neurocomputer interfaces pp. 50-63
- Investigation of the effectiveness of classifiers of motor images constructed using diffusion models of artificial neural networks pp. 18-37
- Selection of P300 signal features based on machine learning and the Morlet wavelet use for BCI applications pp. 17-29
- Model of emotional dynamics of rights to work with brain-compouter and eye-tacking interface interfaces pp. 34-41
- Deep learning for BCI application pp. 48-55
- Digital laterization neural intreface pp. 5-7
- Wireless EEG recorder for research, professional selection and EEG-based biofeedback pp. 19-25
- Multiple-stimulant to adapt EEG recorders to problems obtaining evoked potentials used in neurointerface pp. 78-82
- From «children\'s» neurointerface to «adult pp. 60-62