Dynamical structure underlying inverse stochastic resonance and its implications.
We investigate inverse stochastic resonance (ISR), a recently reported phenomenon in which the spiking activity of a Hodgkin-Huxley model neuron subject to external noise exhibits a pronounced minimum as the noise intensity increases. We clarify the mechanism that underlies ISR and show that its most surprising features are a consequence of the dynamical structure of the model. Furthermore, we show that the ISR effect depends strongly on the procedures used to measure it. Our results are important for the experimentalist who seeks to observe the ISR phenomenon.
Department of Biomedical Engineering, Bulent Ecevit University, Zonguldak, Turkey.
Muhammet
M
Uzuntarla
John R
JR
Cressman
Mahmut
M
Ozer
Ernest
E
Barreto
D002462:Cell Membrane / Q000378:metabolism; D055724:Electrophysiological Phenomena; D008959:Models, Neurological; D009474:Neurons / Q000166:cytology*; D013269:Stochastic Processes