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Stochastic Resonance: From Earth’s Ice Ages to Human Sensory Systems

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IUTAM Symposium on Nonlinear Stochastic Dynamics

Part of the book series: Solid Mechanics and Its Applications ((SMIA,volume 110))

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Abstract

Stochastic resonance has been studied intensively by physicists over the past decade or so. The phenomenon is seen in an extraordinarily wide variety of physical systems. More recently, researchers have asked whether stochastic resonance may be relevant to problems in sensory biology. We give a brief overview of the subject and discuss our work on single hair cells in the auditory system, where Brownian motion of hair bundles improves the mechanoelectrical transduction of extremely weak signals.

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References

  1. R. Benzi, G. Parisi, S. Sutera, and A. Vulpiani, Tellus, vol. 34, pp. 10–18, 1982.

    Article  Google Scholar 

  2. R. Benzi, S. Sutera, and A. Vulpiani, J. Phys. A, vol. 14, pp. L453–L457, 1981.

    Article  MathSciNet  Google Scholar 

  3. A. R. Bulsara and L. Gammaitoni, Physics Today, vol. 49, pp. 39–45, 1996.

    Article  Google Scholar 

  4. A. R. Bulsara, et al, “Controlled stochastic resonance circuit”, U.S. Patent No. 6285249, 2001.

    Google Scholar 

  5. S. M. Bezrukov and I. Vodyanov, Nature, London, vol. 378, p. 362, 1995.

    Article  Google Scholar 

  6. J. J. Collins, et al, Phys. Rev. Lett., in press.

    Google Scholar 

  7. D. R Corey and A. J. Hudspeth, J. Neurosci., vol. 3, pp. 962–976, 1983; J. Howard, W. M. Roberts, and A. J. Hudspeth, Ann. Rev. Biophys. and Biophys. Chem., vol. 17, pp. 99-124, 1988.

    Google Scholar 

  8. S. Fauve and R Heslot, Phys. Lett. A, vol. 97, pp. 5–7, 1983.

    Article  Google Scholar 

  9. L. Gammaitoni, R. Hanggi, P. Jung, and F. Marchesoni, Rev. Mod. Phys., vol. 70, pp. 223–288, 1998.

    Article  Google Scholar 

  10. A. D. Hibbs, “Detection and communications device employing stochastic resonance”, U.S. Patent No. 5574369, 1996.

    Google Scholar 

  11. F. Jaramillo and K. Wiesenfeld, Nature Neuroscience, vol. 1, pp. 384–388, 1998.

    Article  Google Scholar 

  12. R Moss and K. Wiesenfeld, Sci. Am., 1995.

    Google Scholar 

  13. B. McNamara, K. Wiesenfeld, and R. Roy, Phys. Rev. Lett., vol. 60, pp. 2626–2629, 1988.

    Article  Google Scholar 

  14. C. Nicohs, Sol. Phys., vol. 74, p. 473, 1981.

    Article  Google Scholar 

  15. C. Nicohs, Tellus, vol. 34, pp. 1–9, 1982.

    Article  MathSciNet  Google Scholar 

  16. K. Wiesenfeld and F Jaramillo, Chaos, vol. 8, pp. 539–548, 1998.

    Article  Google Scholar 

  17. K. Wiesenfeld and F. Moss, Nature, London, vol. 373, pp. 33–36, 1995.

    Article  Google Scholar 

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Wiesenfeld, K., Jaramillo, F. (2003). Stochastic Resonance: From Earth’s Ice Ages to Human Sensory Systems. In: Namachchivaya, N.S., Lin, Y.K. (eds) IUTAM Symposium on Nonlinear Stochastic Dynamics. Solid Mechanics and Its Applications, vol 110. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0179-3_25

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  • DOI: https://doi.org/10.1007/978-94-010-0179-3_25

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-3985-7

  • Online ISBN: 978-94-010-0179-3

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