Stochastic Resonance
by
Mark D. McDonnell - Nigel G. Stocks - Charles E. M. Pearce - Derek Abbott
This 2008 book addresses aspects of stochastic quantization for researchers in fields from computational neuroscience through to electronic engineering.
Top page
Complete description
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 2008 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.
Top page
General info
Publisher & Imprint:
Cambridge University Press
City:
Cambridge
Pages:
448
More info:
height 247 mm
width 174 mm
weight 1020 gr
thickness 25 mm
Top page
Age recommended:
Professional and scholarly
Subject Indexing & Classification
Dewey:(DC22) 519.23
Library of Congress Subject: Mathematical physics
Departments:
Stochastics;
Record updated at:
04 May, 2013
time:
19:34
Summary
Stochastic Resonance
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.
Top page
More titles by this author
More books from the same department
Free Worldwide Shipment by Mail. Click here for details 