Journal
NATURWISSENSCHAFTEN
Volume 96, Issue 9, Pages 1091-1097Publisher
SPRINGER
DOI: 10.1007/s00114-009-0570-5
Keywords
Neuronal dynamics; Hodgkin-Huxley model; Stochastic processes; Inverse stochastic resonance
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The effects of noise on neuronal dynamical systems are of much current interest. Here, we investigate noise-induced changes in the rhythmic firing activity of single Hodgkin-Huxley neurons. With additive input current, there is, in the absence of noise, a critical mean value A mu = A mu (c) above which sustained periodic firing occurs. With initial conditions as resting values, for a range of values of the mean A mu near the critical value, we have found that the firing rate is greatly reduced by noise, even of quite small amplitudes. Furthermore, the firing rate may undergo a pronounced minimum as the noise increases. This behavior has the opposite character to stochastic resonance and coherence resonance. We found that these phenomena occurred even when the initial conditions were chosen randomly or when the noise was switched on at a random time, indicating the robustness of the results. We also examined the effects of conductance-based noise on Hodgkin-Huxley neurons and obtained similar results, leading to the conclusion that the phenomena occur across a wide range of neuronal dynamical systems. Further, these phenomena will occur in diverse applications where a stable limit cycle coexists with a stable focus.
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