Mechanisms of Synchronization in Local Neural Networks of Neocortex. Modelling and Experimental Researches

We investigated parameters of excitation and inhibition in neurons of a visual cortex of a cat. On somatosensory cortex of rats temporary parameters of epileptiform activity were investigated. The experimental results received have been used for construction of imitating model of a neural network by means of program of "Neuroimitator" for research of mechanisms of synchronization in a neural network. The neural network consisted from 30 neurons. The temporary parameters of excitation and inhibition were different. Two conditions of a neural network in the model were used. In the first case activity of every neuron was spontaneous, and in the second case the activity represented cycles of excitation inhibition. Synchronization (simultaneous activity of the neurons) at the ordered time structure of excitation and inhibition cycles was considerably higher, than during the spontaneous activity. The results received show, that at strengthening the inhibition, the synchronization in local neural networks increases. The greater amplitude of field potential can be a direct reflection of synchronous activity of the elements of nervous system not connected with each other.