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https://hdl.handle.net/2440/22817
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Type: | Journal article |
Title: | Optimal information transmission in nonlinear arrays through suprathreshold stochastic resonance |
Author: | McDonnell, M. Stocks, N. Pearce, C. Abbott, D. |
Citation: | Physics Letters A: General Physics, Nonlinear Science, Statistical Physics, Atomic, Molecular and Cluster Physics, Plasma and Fluid Physics, Condensed Matter, Cross-disciplinary Physics, Biological Physics, Nanosciences, Quantum Physics, 2006; 352(3):183-189 |
Publisher: | Elsevier Science BV |
Issue Date: | 2006 |
ISSN: | 0375-9601 1873-2429 |
Statement of Responsibility: | Mark D. McDonnell, Nigel G. Stocks, Charles E.M. Pearce and Derek Abbott |
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. |
Keywords: | Information theory neural coding suprathreshold stochastic resonance quantization optimal quantization population coding bifurcations point density function |
DOI: | 10.1016/j.physleta.2005.11.068 |
Description (link): | http://www.elsevier.com/wps/find/journaldescription.cws_home/505705/description#description |
Published version: | http://dx.doi.org/10.1016/j.physleta.2005.11.068 |
Appears in Collections: | Aurora harvest 6 Electrical and Electronic Engineering publications |
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