Stochastic Resonance
Stochastic Resonance
Nigel G. Stocks, University of Warwick
Charles E. M. Pearce, University of Adelaide
Derek Abbott, University of Adelaide
The stochastic resonance phenomenon has been observed in many forms of systems and has been debated by scientists for 30 years. Applications incorporating aspects of stochastic resonance have yet to prove revolutionary in fields such as distributed sensor networks, nano-electronics, and biomedical prosthetics. The initial chapters review stochastic resonance basics and outline some of the controversies and debates that have surrounded it. The book continues to discuss stochastic quantization in a model where all threshold devices are not necessarily identical, but are still independently noisy. Finally, it considers various constraints and tradeoffs in the performance of stochastic quantizers. Each chapter ends with a review summarizing the main points, and open questions to guide researchers into finding new research directions.
- A major review of the subject, critically evaluating the field, taking into account the recent rapid developments
- Each chapter ends with open questions to guide readers into new research areas
- 'In a nutshell' sections summarize the key points raised in each chapter
Reviews & endorsements
"… the joint authors of this book adopt a pragmatic approach to these essentially semantic issues and point to the widespread acceptance and use of terminology as a justification for giving attention to more substantive issues associated with understanding and using stochastic resonance in its several forms. … the authors have rendered a major service to a multi-disciplinary research community which can benefit from the clarity of exposition offered in this book. It is to be hoped that that community will repay its debt to these authors by taking forward wherever possible applications of stochastic resonance."
Contemporary Physics
Product details
October 2008Hardback
9780521882620
448 pages
253 × 179 × 25 mm
1.02kg
Available
Table of Contents
- 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.
