Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance

作者: John K. Douglass , Lon Wilkens , Eleni Pantazelou , Frank Moss

DOI: 10.1038/365337A0

关键词: Information theorySignalStochastic resonance (sensory neurobiology)Stochastic modellingSensory systemNoise (signal processing)Computer scienceInformation transferNonlinear systemBiological system

摘要: IN linear information theory, electrical engineering and neurobiology, random noise has traditionally been viewed as a detriment to transmission. Stochastic resonance (SR) is nonlinear, statistical dynamics whereby flow in multistate system enhanced by the presence of optimized, noise1–4. A major consequence SR for signal reception that it makes possible substantial improvements detection weak periodic signals. Although recently demonstrated several artificial physical systems5,6, may also occur naturally, an intriguing possibility biological systems have evolved capability exploit optimizing endogenous sources noise. Sensory are obvious place look SR, they excel at detecting signals noisy environment. Here we demonstrate using external applied crayfish mechanoreceptor cells. Our results show individual neurons can provide physiological substrate sensory systems.

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