from systems to brain Haykin, Simon S. 1931- ebrary, Inc text bibliography Electronic books. mau Cambridge, Mass MIT Press c2007 2007 monographic eng

electronic

electronic resource

vi, 514 p. : ill. Modeling the mind : from circuits to systems / Suzanna Becker -- Empirical statistics and stochastic models for visual signals / David Mumford -- The machine 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 -- A variational 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.]. edited by Simon Haykin ... [et al.]. Includes bibliographical references (p. [465]-508) and index. Electronic reproduction. Palo Alto, Calif. : ebrary, 2013. Available via World Wide Web. Access may be limited to ebrary affiliated libraries. Neural networks (Neurobiology) Neural networks (Computer science) Signal processing Statistical methods Neural computers QP363.3 .N52 2007eb 612.8/2 http://site.ebrary.com/lib/rucke/Doc?id=10173712 http://site.ebrary.com/lib/rucke/Doc?id=10173712 CaPaEBR 051101 ebr10173712