Optimal information transmission in nonlinear arrays through suprathreshold stochastic resonance
Date
2006
Authors
McDonnell, M.
Stocks, N.
Pearce, C.
Abbott, D.
Editors
Advisors
Journal Title
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Volume Title
Type:
Journal article
Citation
Physics Letters, Section A: General, Atomic and Solid State Physics, 2006; 352(3):183-189
Statement of Responsibility
Mark D. McDonnell, Nigel G. Stocks, Charles E.M. Pearce and Derek Abbott
Conference Name
Abstract
We examine the optimal threshold distribution in populations of noisy threshold devices. When the noise on each threshold is independent, and sufficiently large, the optimal thresholds are realized by the suprathreshold stochastic resonance effect, in which case all threshold devices are identical. This result has relevance for neural population coding, as such noisy threshold devices model the key dynamics of nerve fibres. It is also relevant to quantization and lossy source coding theory, since the model provides a form of stochastic signal quantization. Furthermore, it is shown that a bifurcation pattern appears in the optimal threshold distribution as the noise intensity increases. Fisher information is used to demonstrate that the optimal threshold distribution remains in the suprathreshold stochastic resonance configuration as the population size approaches infinity.
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Dissertation Note
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Description
Link to a related website: http://arxiv.org/pdf/cond-mat/0409528, Open Access via Unpaywall
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