[Reactions of a neuronal network model with stochastic connections to frequency variations and interval structure of input signals].

A computer model of neuron network with stochastic ally organized connections was studied. The constructed neural network found to be highly sensitive to the interval structure of input signals and is capable of integrating and encoding them by the ratio of frequencies of pulsations of neurons comprising the network. The results obtained suggest that essential in modelling real brain structures is both the stochastic distribution of interneuron connections and specific configuration of anatomic connections of the real neural network. The proposal is made to assess these two possibilities separately.