2001/03/29 by Miguel Fuentes, M. A. Fuentes, C. Tessone +9 · 1 citation
Decision Sciences · Physics and Astronomy · #FOS: Physical sciences #Probabilistic and Robust Engineering Design #Statistical Mechanics (cond-mat.stat-mech) #Statistical Mechanics and Entropy #cond-mat.stat-mech #stochastic dynamics and bifurcation
paper · pdf · doi:10.48550/arxiv.cond-mat/0103612
RevTex 11pgs., 4 figures. Submited to Physical Review Letters
openalex publication_date 2001/03/29 · arxiv created 2001/05/20 · arxiv updated 2009/11/30 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
We have analyzed the phenomenon of stochastic resonance in a system driven by non Gaussian noises. We have considered both white and colored noises. In the latter case we have obtained a consistent Markovian approximation that enables us to get quasi-analytical results for the signal-to-noise ratio. As the system departs from Gaussian behavior, our main findings are: an enhancement of the response together with a notable robustness against noise tuning. These remarkable findings are supported by extensive numerical simulations. We also discuss the relation with some experiments in sensory systems.