Journal article

M-ary suprathreshold stochastic resonance: Generalization and scaling beyond binary threshold nonlinearities

Mark D McDonnell, Xiao Gao

EPL | IOP PUBLISHING LTD | Published : 2014


Suprathreshold stochastic resonance is a form of noise-enhanced processing that is observed only when more than one noisy nonlinear signal processing element is combined in a parallel array, such as in biological and engineered sensory transduction. The case of binary threshold nonlinearities combined into arrays of independently noisy components has previously been studied extensively, and quantified in terms of how information transmission through the array varies with the input noise level, and the number of elements, N. Here we generalise this setup to arrays of N identical M-ary threshold nonlinearities. We show that enhanced suprathreshold stochastic resonance occurs for and N>1, imply..

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University of Melbourne Researchers


Awarded by Australian Research Fellowship from the Australian Research Council

Funding Acknowledgements

MDM was supported by an Australian Research Fellowship from the Australian Research Council (project No. DP1093425).