14 November 2002 Maximizing information transfer through nonlinear noisy devices
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Abstract
Consider an array of parallel comparators (threshold devices) receiving the same input signal, but subject to independent noise, where the output from each device is summed to give an overall output. Such an array is a good model of a number of nonlinear systems including flash analogue to digital converters, sonar arrays and parallel neurons. Recently, this system was analysed by Stocks in terms of information theory, who showed that under certain conditions the transmitted information through the array is maximised for non-zero noise. This phenomenon was termed Suprathreshold Stochastic Resonance (SSR). In this paper we give further results related to the maximisation of the transmitted information in this system.
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Mark D. McDonnell, Nigel G. Stocks, Charles E. M. Pearce, Derek Abbott, "Maximizing information transfer through nonlinear noisy devices", Proc. SPIE 4937, Biomedical Applications of Micro- and Nanoengineering, (14 November 2002); doi: 10.1117/12.469415; https://doi.org/10.1117/12.469415
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KEYWORDS
Genetic algorithms

Interference (communication)

Stochastic processes

Complex systems

Genetics

Information theory

Neurons

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