Noise-driven switching between limit cycles and adaptability in a small-dimensional excitable network with balanced coupling.
We study a system of globally coupled FitzHugh-Nagumo equations. Each unit is either excitatory or inhibitory. If the numbers of units of both types are in a specific ratio, we observe the presence of multistable oscillatory states with different excitation or firing rates. In the presence of noise, there is noise-driven switching between these states and the resultant firing pattern is long-range correlated. The choice between higher and lower frequency oscillations depends on the input, which results in increasing adaptability of the system's output to the periodic input.
Safonov
Leonid A
LA
Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan. safonov@p.u-tokyo.ac.jp
Yamamoto
Yoshiharu
Y
D000200:Action Potentials / Q000502:physiology*; D000222:Adaptation, Physiological / Q000502:physiology; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D019706:Excitatory Postsynaptic Potentials / Q000502:physiology*; D005246:Feedback; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology*; D009473:Neuronal Plasticity / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D013269:Stochastic Processes; D009435:Synaptic Transmission / Q000502:physiology