Dynamical features of neural circuits generating different patterns of spike trains in the presence of noise are investigated: (i) We explore noise-induced multimode dynamics in excitable functional units. Multiple gain of regularity is found to be related to different frequency entrainments and to the appearance of additional time scales; (ii) We develop stochastic implementation of central pattern generator to show that excitable units can successfully replace pacemakers at the appropriate level of noise; (iii) We study the coexistence of beta and gamma rhythms in a local network of nerve cells. It is found that noise can cause coherent switchings between different oscillatory states.
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