NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
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INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
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Includes bibliographical references (p. [465]-508) and index.
CONTENTS NOTE
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Modeling the mind : from circuits to systems /Suzanna Becker --Empirical statistics and stochastic models for visual signals /David Mumford --Themachine cocktail party problem /Simon Haykin, Zhe Chen --Sensor adaptive signal processing of biological nanotubes (ion channels) at macroscopic and nano scales /Vikram Krishnamurthy --Spin diffusion : a new perspective in magnetic resonance imaging /Timothy R. Field --What makes a dynamical system computationally powerful? /Robert Legenstein, Wolfgang Maass --Avariational principle for graphical models /Martin J. Wainwright, Michael I. Jordan --Modeling large dynamical systems with dynamical consistent neural networks /Hans-Georg Zimmermann ... [et al.] --Diversity in communication : from source coding to wireless networks /Suhas N. Diggavi --Designing patterns for easy recognition : information transmission with low-density parity-check codes /Frank R. Kschischang, Masoud Ardakani --Turbo processing /Claude Berrou, Charlotte Langlais, Fabrice Seguin --Blind signal processing based on data geometric properties /Konstantinos Diamantaras --Game-theoretic learning /Geoffrey J. Gordon --Learning observable operator models via the efficient sharpening algorithm /Herbert Jaeger ... [et al.].