2010
DOI: 10.1051/mmnp/20116108
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On Chaotic Subthreshold Oscillations in a Simple Neuronal Model

Abstract: Abstract. In a simple FitzHugh-Nagumo neuronal model with one fast and two slow variables, a sequence of period-doubling bifurcations for small-scale oscillations precedes the transition into the spiking regime. For a wide range of values of the timescale separation parameter, this scenario is recovered numerically. Its relation to the singularly perturbed integrable system is discussed.

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Cited by 6 publications
(3 citation statements)
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“…Using the mappings of higher degrees we can evaluate the critical moments at which the period-two and period-four orbits are about to bifurcate. We point out that a period-doubling cascade, beginning with a limit cycle near the Hopf-initiated canard toward subthreshold chaos has been recently reported in slow-fast systems [30,31].…”
Section: From Bursting To Mixed-mode Oscillations and Quiescencementioning
confidence: 53%
“…Using the mappings of higher degrees we can evaluate the critical moments at which the period-two and period-four orbits are about to bifurcate. We point out that a period-doubling cascade, beginning with a limit cycle near the Hopf-initiated canard toward subthreshold chaos has been recently reported in slow-fast systems [30,31].…”
Section: From Bursting To Mixed-mode Oscillations and Quiescencementioning
confidence: 53%
“…Finally, [49] studies a Fitz-Hugh-Nagumo-like system and demonstrates, also through numerical computations, that the Hopf cycles lose stability via a sequence of period-doubling bifurcations. Interestingly, the cascade follows the Feigenbaum constant for conservative systems for small values of > 0.…”
Section: Introductionmentioning
confidence: 92%
“…In particular, we are interested in a description of the period doubling bifurcations that have been reported in several papers, see e.g. [49]. These period doubling bifurcations are associated with the heteroclinic connection on the blowup sphere (recall Fig.…”
Section: Completing the Proof Of Theorem 13mentioning
confidence: 99%