RESEARCH

I am 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 are still many open questions in oscillatory neural networks, the networks of phase oscillators and the networks with time delayed coupling. 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.
 

1. Modeling of the septo-hippocampal system: memory

To develop a septum model as a source of hippocampal theta-rhythm where the main mechanism of rhythm generation is based on the interaction of the loci of pacemaker neurons with neighborhoods.

To develop a biologically plausible model of the hippocampus taking into account the spatial and temporal structures of the hippocampus, time courses of different neurotransmitters (ACh, GABA, etc.), time delay in signal propagating, rhythms with different frequencies (theta-rhythm, sharp waves, etc.), inputs from the septum and entorhinal cortex. This model should work as a comparator of incoming signals, novelty detector, and short-term memory (temporal sequences).

• To develop multilayer networks of biologically plausible elements taking into account columnar structure of the cortex to study information representation and interaction in primary and secondary convergent zones.
• To show that the synchronization of multifrequency oscillations can be used to bind the features of an analyzed object (pre-attention).

• To develop and investigate biologically plausible models (modules) of the brain structures (cortical columns of different modalities, the septum, the hippocampus, the thalamus, the basal ganglia, the reticular formation, etc.).
• To develop a large-scale model of interactive modules where the thalamus and the hippocampus are central executives.
• To investigate the interplay between different brain structures during information processing and to link together evidence of neurophysiological experiments and psychological data.

To formulate the main principles of the information processing which can be checked by neurophysiological and psychological experiments and which can be considered as a framework for the future brain theory.

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