Stochastic Resonance

Mark D. McDonnell is a Research Fellow at the Institute for Telecommunications Research, University of South Australia. Prior to this, he was at The University of Adelaide. His research interests are in the field of nonlinear signal processing, and bio-inspired engineering. Nigel G. Stocks is a Professor in the School of Engineering at Warwick University. His research lies in stochastic nonlinear systems and biometrics. Charles E. M. Pearce is Thomas Elder Professor of Mathematics at the School of Mathematics, University of Adelaide, and is editor of several journals. Derek Abbott is a Professor in the School of Electrical and Electronic Engineering at the University of Adelaide. He has received several awards and has been editor or guest editor on a number of journals.

• 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.

Review of the hardback: 'A major strength of this book is its capture of the expertise of four leading exponents of stochastic resonance research. Four heads here certainly provide an optimal performance. Take home messages from all the chapters are provided in clear 'in a nutshell' summaries. … 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