2016
DOI: 10.1016/j.cnsns.2016.01.012
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An experimental study of slow passage through Hopf and pitchfork bifurcations in a parametrically driven nonlinear oscillator

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Cited by 47 publications
(11 citation statements)
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“…This quasi-steady picture changes if the bifurcation parameter varies at a finite rate (figure 1b): bifurcation delay occurs, and it is a function of the rate (e.g. [40][41][42]). For a quasi-steady variation of ν in the presence of stochastic forcing (figure 1c), the hysteresis is suppressed in a statistical sense.…”
Section: Introductionmentioning
confidence: 99%
“…This quasi-steady picture changes if the bifurcation parameter varies at a finite rate (figure 1b): bifurcation delay occurs, and it is a function of the rate (e.g. [40][41][42]). For a quasi-steady variation of ν in the presence of stochastic forcing (figure 1c), the hysteresis is suppressed in a statistical sense.…”
Section: Introductionmentioning
confidence: 99%
“…In order to see if system (31) has a unique solution, we have to determine whether the previous determinant is zero or not. To do so, we consider the characteristic polynomials of system (29) in each region, which are given by where f stands the derivative of f (x) in the corresponding region j ∈ {L, M }. Since the determinant is zero when λ L = λ M , this leads to p L (λ L ) − p M (λ L ) = 0.…”
Section: Application To the Doi-kumagai Neural Burstermentioning
confidence: 99%
“…Since we maintain the equilibrium in the middle strip {|x| ≤ 1}, the expected behavior of the slow passage is the one described in section 3.1 about the presence of a buffer point, in particular in theorem 3. Therefore, let us consider system (29), where we rewrite f as…”
Section: Application To the Doi-kumagai Neural Burstermentioning
confidence: 99%
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“…In this case, not only the adjustment timescale of the system but also the forcing timescale can be important. File generated with AMS Word template 1.0 Dependencies of bifurcations on the forcing timescale have been reported in other scientific fields such as acoustics, laser physics, engineering, and neuroscience (Mandel and Erneux 1987;Mannella et al 1987;Baer and Gaekel 2008;Bergeot et al 2014;Premraj et al 2016;Bonciolini et al 2018). They showed that time-varying forcing can postpone bifurcation of a dynamical system so that the bifurcation requires a larger parameter change beyond the static bifurcation point-the parameter value at which the bifurcation would occur if the quasi-static equilibrium is satisfied.…”
Section: Introductionmentioning
confidence: 98%