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Volumn 54, Issue 5, 1996, Pages 5575-5584

Aperiodic stochastic resonance

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[No Author keywords available]

Indexed keywords


EID: 0000069081     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.54.5575     Document Type: Article
Times cited : (312)

References (64)
  • 24
  • 36
    • 85035223368 scopus 로고    scopus 로고
    • Kiss independently developed a theory for SR-type behavior in threshold devices with wideband input signals [L.B. Kiss, in Proceedings of the Third Technical Conference on Nonlinear Dynamics (Chaos) and Full Spectrum Processing, edited by R. Katz (AIP, New York, in press)
    • Kiss independently developed a theory for SR-type behavior in threshold devices with wideband input signals [L.B. Kiss, in Proceedings of the Third Technical Conference on Nonlinear Dynamics (Chaos) and Full Spectrum Processing, edited by R. Katz (AIP, New York, in press)].
  • 42
    • 35949013423 scopus 로고
    • This technique is based on the concept of residence-time probability density functions [, and
    • This technique is based on the concept of residence-time probability density functions [T. Zhou, F. Moss and P. Jung, Phys. Rev. A42, 3161 (1990)].
    • (1990) Phys. Rev. A , vol.42 , pp. 3161
    • Zhou, T.1    Moss, F.2    Jung, P.3
  • 45
  • 48
    • 85035224810 scopus 로고    scopus 로고
    • The time-varying two-way hopping rate was computed by passing a unit-area symmetric Hanning window filter over an impulse train corresponding to the well transitions in the system. (An impulse was recorded every time the system's state point crossed x=0.)
    • The time-varying two-way hopping rate was computed by passing a unit-area symmetric Hanning window filter over an impulse train corresponding to the well transitions in the system. (An impulse was recorded every time the system's state point crossed x=0.)
  • 49
    • 25344463461 scopus 로고
    • The model equations were solved numerically using an algorithm developed for stochastic differential equations [, and, An integration step size of 0.01 s, 0.1 s, and 0.05 ms was used for the bistable-well, integrate-and-fire, and Hodgkin-Huxley models, respectively. The reported results did not change for smaller stepsizes
    • The model equations were solved numerically using an algorithm developed for stochastic differential equations [R. Mannella and V. Palleschi, Phys. Rev. A40, 3381 (1989)]. An integration step size of 0.01 s, 0.1 s, and 0.05 ms was used for the bistable-well, integrate-and-fire, and Hodgkin-Huxley models, respectively. The reported results did not change for smaller stepsizes.
    • (1989) Phys. Rev. A , vol.40 , pp. 3381
    • Mannella, R.1    Palleschi, V.2
  • 51
    • 0347193736 scopus 로고
    • For an excellent review of work on Kramers's rate theory, see, and
    • For an excellent review of work on Kramers's rate theory, see P. Hänggi, P. Talkner and M. Borkovec, Rev. Mod. Phys.62, 251 (1990).
    • (1990) Rev. Mod. Phys. , vol.62 , pp. 251
    • Hänggi, P.1    Talkner, P.2    Borkovec, M.3
  • 59
    • 53349102813 scopus 로고
    • The FHN model was originally proposed as a simplified version of the HH model
    • The FHN model was originally proposed as a simplified version of the HH model [R A. FitzHugh, Biophys. J.1, 445 (1961);
    • (1961) Biophys. J. , vol.1 , pp. 445
    • FitzHugh, R.A.1
  • 63
    • 85035201254 scopus 로고    scopus 로고
    • Some excitable-membrane models, like the HH model, have fast deactivating channels. These channels, however, are slow near rest and deactivate when the voltage increases during the generation of an action potential
    • Some excitable-membrane models, like the HH model, have fast deactivating channels. These channels, however, are slow near rest and deactivate when the voltage increases during the generation of an action potential.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.