[Modeling mechanisms of formation of neuronal impulse activity].

The dependence of the time structure of the neuronal impulse activity on characteristics of excitatory input flows and cell parameters was analyzed using a mathematical model of the neuron. Changes in the neuron parameters essentially affected the neuron impulse activity only under weak input influences. An increase in the intensity of the input flow resulted in a considerable reconstruction of neuronal impulse activity. Mean interspike intervals and standard deviations decreased, interspike interval histograms became more symmetrical, periodic oscillations appeared on autocorrelation histograms. At input flow of large intensity the dependence of statistical characteristics of the output spike trains of the neuron on its own parameters was less pronounced. On the basis of the data obtained it is concluded that the intensity of the input flow is the main factor determining the reconstruction of the time structure of the impulse activity of a real neuron.