RESEARCH ACTIVITY

The Laboratory is currently working on the problems related to the study of complex dynamics and chaos of the oscillatory neural networks with various types of elements and architectures. In particular, the synchronization modes are carefully studied. There is still many open question in oscillatory neural networks, the networks of phase oscillators and the networks with time delayed coupling.
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The study of the problems related to training oscillatory neural networks (reinforcement learning) has been started in order to find the algorithms for network parameter modification which can be used to model neurophysiologycal and psychological data on attention switching and conditioning. The fulfillment of this program will form a unified approach to the solution of the problems of memory, binding, and attention.
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