Abstracts

Cybernetics and Phisiology

The most remarkable property of ecologically relevant sensory flows is their varied time structure. It is linked with continuous environment changes or with movements proper to sensory organs. In field conditions, animals' and humans' adaptive behaviour requires processing of complex spatio-temporal patterns in a wide range of time scales as well as their integration into entire coherent representations. A lot of recent studies provide evidence that the method of sensory flow processing in brain is cooperative. It is likely that characteristics of receptive fields and sensory maps interpret stimuli changing with time by means of inner neuronal activity modulation. In the past few years, data on different classes of GABAergic neurons that form specific reciprocally linked networks have become most important result in the studies of cellular, synaptic and functional organization of cortical sensory networks. High degree of reciprocity and variety of inhibitory interneuron networks in striate cortex suggest that they play a crucial part in synchronization of cortical brain oscillations.

In this report, a new mechanism of time (phase) coding and sensory integration in even cyclic inhibitory neuron networks is considered. We present the results of computational simulation experiments with such networks. Dynamic processing of rapidly changing sensory stimuli of complex spatio-temporal arrangement in such networks is regarded as a successive process of transient modulation of the burst generation own frequency and formation of coherent ensembles of oscillatory network units. Integrative sensory grouping mechanism is based on non-linear, amplitude-phase characteristics of oscillators in the network. The suggested model for continuous process of the type "short-term inner activity modulation - coherent phase representation -..." can underlie the neuronal representations of constantly changing external world in our brain.

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