Cover -- Contents -- Contributors -- PART 1: Characterizing Neuronal Variability -- 1. A Mixed-Filter Algorithm for Dynamically Tracking Learning from Multiple Behavioral and Neurophysiological Measures -- 2. Stochastic Transitions between States of Neural Activity -- 3. Neural Coding: Variability and Information -- PART 2: Dynamics of Neuronal Ensembles -- 4. Interactions between Intrinsic and Stimulus-Evoked Activity in Recurrent Neural Networks -- 5. Inherent Biases in Spontaneous Cortical Dynamics -- 6. Phase Resetting in the Presence of Noise and Heterogeneity -- 7. Understanding Animal-to-Animal Variability in Neuronal and Network Properties -- 8. Dynamical Parameter and State Estimation in Neuron Models -- PART 3: Neuronal Variability and Cognition -- 9. Capturing "Trial-to-Trial" Variations in Human Brain Activity: From Laboratory to Real World -- 10. Linking Neuronal Variability to Perceptual Decision Making via Neuroimaging -- 11. Spatiotemporal Dynamics of Synchronous Activity across Multiple Areas of the Visual Cortex in the Alert Monkey -- 12. Behavioral and Neural Variability Related to Stochastic Choices during a Mixed-Strategy Game -- PART 4: Neuronal Variability and Brain Disorders -- 13. Circuit Mechanisms Underlying Behavioral Variability during Recovery of Consciousness following Severe Brain Injury -- 14. Intermittent Vorticity, Power Spectral Scaling, and Dynamical Measures on Resting Brain Magnetic Field Fluctuations: A Pilot Study -- 15. Population Variability and Bayesian Inference -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- R -- S -- T -- V -- W -- Z.