Topic/area of interest: approach for human improvement, neuroplasticity and brain, cognitive neuroscience, learning, preparing for special operations and training protocols design, computer models of consciousness dynamics.
Goal - the developing and design of software and hardware platforms, including the method and model that allows to purposefully initiate and accelerate the neuroplasticity changes (NPC) in the brain associated with learning, rehabilitation or treatment. Targeted activation of the NPC is expected due to the synthesis of individual training protocol in real time with the use of biofeedback.
Working hypothesis - NPC provokes an increase in the activity of the neural network in those regions which are directly involved in the relevant activities. If we learn how to define and measure the specific activity of the neural network, which has caused by specific training protocol we can purposefully control NPC.
The core of the developing algorithm is AI, which must be capable for generating a training protocol in real time, including:
• Biofeedback (EEG based BCI1) is used to monitor non-invasively the activity of the NPC that occurs in response to the execution of the generated training situation. Biofeedback allows you to create an individual sequence of training patterns.
• Training model is the basis for the formation of provoking effects of the training protocol. The training model includes a model of the learning process (as a special case of the adaptation process) and knowledge & skills’s architecture model, the properties of which should be implemented.
A computer game may be simple analogy which on the one hand measures the achievements of the player, and on the other hand teaches, guides the user for training scenarios.