Synchronization with a periodic pulse train in an asymmetrically coupled neuronal network model
We constructed a neuronal network model that shows synchronization with a periodic pulse train as external force. In this model, two neurons coupled by reciprocal inhibition oscillate intrinsically. One neuron has rebound property from the inhibition by the other neuron. Only the other neuron receives the external periodic pulse train input. The neurons are entrained to the input in such a way that the frequency ratio of the input and output is rational numbers in low order in wide range of the input frequency. Asymmetricity makes possible the synchronization in a wider range of frequency of the pulse trains in some ratios of the input and output frequency than in the former models. The concept of the present modeling can be applied to the explanation of the entrainment in rhythmic motor behaviors.
synchronization asymmetricity neuronal network model entrainment rhythmic movements