• Open Access

Dynamical structure underlying inverse stochastic resonance and its implications

Muhammet Uzuntarla, John R. Cressman, Mahmut Ozer, and Ernest Barreto
Phys. Rev. E 88, 042712 – Published 31 October 2013

Abstract

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.

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  • Received 25 March 2013

DOI:https://doi.org/10.1103/PhysRevE.88.042712

This article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Authors & Affiliations

Muhammet Uzuntarla1,*, John R. Cressman2,†, Mahmut Ozer3, and Ernest Barreto2,‡

  • 1Department of Biomedical Engineering, Bulent Ecevit University, Zonguldak, Turkey
  • 2Department of Physics, Astronomy, and Computational Sciences and The Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, USA
  • 3Department of Electrical-Electronics Engineering, Bulent Ecevit University, Zonguldak, Turkey

  • *muzuntarla@yahoo.com
  • jcressma@gmu.edu
  • ebarreto@gmu.edu

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Vol. 88, Iss. 4 — October 2013

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