Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization

Stochastic Resonance: From Suprathreshold Stochastic Resonance to Stochastic Signal Quantization

by Mark D. McDonnell, Nigel G. Stocks, Charles E. M. Pearce, Derek Abbott
     
 

ISBN-10: 0521882621

ISBN-13: 9780521882620

Pub. Date: 10/27/2008

Publisher: Cambridge University Press

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

Overview

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.

Product Details

ISBN-13:
9780521882620
Publisher:
Cambridge University Press
Publication date:
10/27/2008
Pages:
448
Product dimensions:
7.00(w) x 9.80(h) x 1.00(d)

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.

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