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Main research areas:

The Laboratory for Neurodynamics and Cognitive Technologies conducts interdisciplinary research and experimental work to develop neurointerfaces used in learning, medical rehabilitation and sports training.
The competencies of the laboratory team also include: investigation of brain neural network dynamics using models of different levels of biophysical processes, mathematical methods for processing and analysis of multi-channel neurophysiological data of different nature including artificial intelligence technologies and human-machine interfaces.

Research objectives:

˗ investigation of the dynamic principles of information representation, conversion and processing in the brain, and the study of the basic patterns of observed oscillatory-wave processes and their role in the performance of cognitive functions;
˗ finding ways to influence intercellular signalling processes in the performance of cognitive functions, including the use of transcranial magnetic stimulation;
˗ development and validation of high-tech neurointerfaces for use in personalised rehabilitation medicine.

Key results:

The following key research results were obtained at the Laboratory in 2022:

- A database was created of EEG, EMG signals and behavioural characteristics of subjects (over 100 individuals) as they performed cognitive tasks of motor imagination and sensory information processing before and after TMS stimulation.

- The structure of the functional neural network during a cognitive task of motor imagination was investigated by EEG-TMS neuroimaging. The prefrontal cortex area involved in the functional neural network during motor imagination was revealed. A way to activate the functional neural network to increase the effectiveness in performing the cognitive task of imagining motor activity was revealed.

- Extreme synchronization in complex dynamic networks simulating pathological states of local neuronal populations of the brain was investigated.