Series Foreword -- Preface -- 1 Modeling the Mind: From Circuits to Systems -- 2 Empirical Statistics and Stochastic Models for Visual Signals -- 3 The Machine Cocktail Party Problem -- 4 Sensor Adaptive Signal Processing of Biological Nanotubes (Ion Channels) at Macroscopic and Nano Scales -- 5 Spin Diffusion: A New Perspective in Magnetic Resonance Imaging -- 6 What Makes a Dynamical System Computationally Powerful? -- 7 A Variational Principle for Graphical Models -- 8 Modeling Large Dynamical Systems with Dynamical Consistent Neural Networks -- 9 Diversity in Communication: From Source Coding to Wireless Networks -- 10 Designing Patterns for Easy Recognition: Information Transmission with Low-Density Parity-Check Codes -- 11 Turbo Processing -- 12 Blind Signal Processing Based on Data Geometric Properties -- 13 Game-Theoretic Learning -- 14 Learning Observable Operator Models via the Efficient Sharpening Algorithm -- References -- Contributors -- Index.