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Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization
Open accessAbstract
Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for over 30 years. Applications incorporating aspects of stochastic resonance may yet prove revolutionary in fields such as distributed sensor networks, nano-electronics, and biomedical prosthetics. Ideal for researchers in fields ranging from computational neuroscience through to electronic engineering, this book addresses in detail various theoretical aspects of stochastic quantization, in the context of the suprathreshold stochastic resonance effect. Initial chapters review stochastic resonance and outline some of the controversies and debates that have surrounded it. The book then discusses suprathreshold stochastic resonance, and its extension to more general models of stochastic signal quantization. Finally, it considers various constraints and tradeoffs in the performance of stochastic quantizers, before culminating with a chapter in the application of suprathreshold stochastic resonance to the design of cochlear implants.
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Cited by
Stochastic thermodynamics, fluctuation theorems and molecular machines
Seifert, U. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/12/126001 · Cited by 3,300
Control, exploitation and tolerance of intracellular noise
Rao, C. V., Wolf, D. M., & Arkin, A. P. (2002) · Nature · doi:10.1038/nature01258 · Cited by 1,006
Stochastic resonance and sensory information processing: A tutorial and review of application
Moss, F., Ward, L. M., & Sannita, W. G. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2003.09.014 · Cited by 994
What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology
McDonnell, M. D., & Abbott, D. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000348 · Cited by 774
Self-citationThe benefits of noise in neural systems: bridging theory and experiment
McDonnell, M. D., & Ward, L. M. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3061 · Cited by 772
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Metadata
- Authors
- McDonnell, M. D., Stocks, N. G., Pearce, C. E. M., & Abbott, D.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2008-10-02
- OpenAlex
- W1673467875
- Cited by
- 2,403
- References
- 0
- FWCI
- 47.23
- Type
- book
- Language
- en
- Open access
- green
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