Autor: Mark D. McDonnell , Nigel G. Stocks , Charles E. M. Pearce , Derek Abbott
Wydawca: Cambridge University Press
Dostępność: 3-6 tygodni
Cena: 641,55 zł
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ISBN13: |
9780521882620 |
ISBN10: |
0521882621 |
Autor: |
Mark D. McDonnell , Nigel G. Stocks , Charles E. M. Pearce , Derek Abbott |
Oprawa: |
Hardback |
Rok Wydania: |
2008-10-02 |
Ilość stron: |
448 |
Wymiary: |
247 x 174 mm |
Tematy: |
Nonlinear science |
Stochastic resonance has been observed in many forms of systems, and has been hotly debated by scientists for nearly 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.
Spis treści:
Preface
1. Introduction and motivation
2. Stochastic resonance, its definitions, history and debates
3. Stochastic quantization
4. Suprathreshold stochastic resonance, encoding
5. Suprathreshold stochastic resonance, large N encoding
6. Suprathreshold stochastic resonance, decoding
7. Suprathreshold stochastic resonance, large N decoding
8. Optimal stochastic quantization
9. SSR, neural coding, and performance tradeoffs
10. Stochastic resonance in the auditory system
11. The future of stochastic resonance and suprathreshold stochastic resonance
Appendices
References
Index.
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