Early fundamental studies to create methods for integrating brain signals of healthy and sick person with a computer to provide non-verbal communication.
Development and testing neural network method for analyzing and interpreting EEG signals for brain-computer systems. Development of a neural interface prototype.
Study and comparative analysis of electrographic patterns and mechanisms for forming voluntary motor and mental activity. Patent acquisition.
A neural networks committee to classify the electroencephalogram of mental movements forthe brain-computerinterface. Certificate of state registration for software.
Research into the influence of personality individual-typologicalfeatures on the effectiveness of self-regulation with EEG-based neurofeedback.
Experimental testing of the developed neural network methods of EEG analysis for disabled people to control a wheelchair.
Research and modeling of neuro- and psychophysiological mechanisms of the functional state ofthe brain, active perception and hierarchy of cognitive processes that provide adaptive behavior.
Development and testing of visual feedback software interface based on EEG spectral characteristics of mental commands for screen interface control. Certificate of state registration for software.
Development of the VRE hardware-software system (mobile biopotential amplifier) to control wireless devices (a smartphone, a tablet). Certificate of state registration for software.
Development of hardware and software systems to use a neural interface in a virtual reality environment and to control a wheelchair.
Study of mechanisms of multistable brain activity, sensory perception and cognitive processes to develop effective monitoring, communication and control neurotechnologies.