Mechanism of stochastic resonance

By P. Landa. 2004

915 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Global and Planetary Change, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/074f8ae1b4bdc534de10b0aed50144479c4904fe

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In Computer Networks and Communications

In Global and Planetary Change

In Statistical and Nonlinear Physics

Citations in the corpus

Coherent Resonant Millennial-Scale Climate Oscillations Triggered by Massive Meltwater Pulses (2003, background): “This nonlinear amplification mechanism is called stochastic resonance (SR; Benzi et al. 1981, 1982; Nicolis 1982; Gammaitoni et al. 1998).”
Broadband piezoelectric power generation on high-energy orbits of the bistable Duffing oscillator with electromechanical coupling (2011, neutral): “[23] for noise excitation through the concept of stochastic resonance [24] as formerly pointed out by McInnes et al.”
A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties (2006, background): “Although originally proposed as an explanation for ice-ages (Benzi et al. 1981), it has been found to play a role in the sensory pathways of various organisms (Douglas et al. 1993; Braun et al. 1994).”
What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology (2009, methodology): “The term stochastic resonance was first used in the context of noiseenhanced signal processing in 1980 by Roberto Benzi, at the 1980 NATO International School of Climatology, as a name for the mechanism suggested to be behind the periodic behavior of the earth’s ice ages [16,17].”
Predictability: a way to characterize complexity (2001, background): “Let us mention stochastic resonance, where there is a synchronization of the jumps between two stable points [25,26,163] (for a recent review see [87]), and the phenomena of the so-called noise-induced order [157] and noise-induced instability [43,59].”
Stochastic resonance and sensory information processing: a tutorial and review of application. (2004, background): “The phenomenon does not occur in strictly linear systems, where the addition of noise to either the system or the stimulus only degrades the measures of signal quality (see for reference: Benzi et al., 1981; Moss, 1994, 2000; Moss et al., 1994; Wiesenfeld and Moss, 1995; Ward et al., 2002).”