TY  - BOOK
AU  - Rabinovich,Mikhail I.
AU  - Friston,Karl J.
AU  - Varona,Pablo
AU  - Deco,Gustavo
AU  - Jirsa,Victor K.
AU  - Menon,Vinod
AU  - Haynes,John-Dylan
AU  - Graben,Peter beim
AU  - Potthast,Roland
AU  - Kiebel,Stefan J.
TI  - Principles of Brain Dynamics: Global State Interactions
T2  - Computational Neuroscience Series
SN  - 9780262305587
AV  - QP376 -- .P75 2012eb 
U1  - 612.8/2 
PY  - 2012///
CY  - Cambridge
PB  - MIT Press
KW  - Brain-Physiology
KW  - Dynamics
KW  - Electronic books
N1  - Intro -- Contents -- Series Foreword -- Introduction -- 1 The Dynamical and Structural Basis of Brain Activity -- 1.1 Introduction -- 1.2 Attractors and Brain Dynamics -- 1.3 Autonomous Brain Dynamics -- 1.4 Conclusion -- 2 Functional Connectivity, Neurocognitive Networks, and Brain Dynamics -- 2.1 A Connectivity and Network Perspective on Cognition -- 2.2 Identifying Major Cognitive Networks -- 2.3 Intrinsic Connectivity Networks -- 2.4 Three Core Neurocognitive Networks -- 2.5 Dynamics of Signaling in the CEN, SN, and DMN -- 2.6 A Dynamical Network Model of Saliency, Attention, and Control -- 2.7 Conclusion -- 3 Decoding Mental States from Patterns of Brain Activity -- 3.1 Introduction -- 3.2 Multivariate Decoding -- 3.3 Decoding Dynamics -- 3.4 Conclusion -- 4 Transient Brain Dynamics -- 4.1 Transients versus Attractors in Perception -- 4.2 Robustness through Metastability: Winnerless Competition -- 4.3 Hierarchical Competition: Canonical Models -- 4.4 Modulation Instability and Resting-State Dynamics -- 4.5 Modeling Psychopathology -- 4.6 Conclusion -- 5 A Dynamic Field Account of Language-Related Brain Potentials -- 5.1 Introduction -- 5.2 ERP Experiment -- 5.3 Dynamic Cognitive Modeling -- 5.4 Conclusion -- 6 Recognition of Sequences of Sequences Using Nonlinear Dynamical Systems -- 6.1 Introduction -- 6.2 Stable Heteroclinic Channels -- 6.3 Hierarchies of Stable Heteroclinic Channels -- 6.4 Bayesian Recognition Using SHC Hierarchies -- 6.5 A Model of Speech Recognition -- 6.6 Some Simulated Examples -- 6.7 Discussion -- 7 The Stability of Information Flows in the Brain -- 7.1 How to Define an Information Flow in the Brain? -- 7.2 Working Memory Capacity -- 7.3 Limits of Sequential Language Processing -- 7.4 Interaction of Heteroclinic Channels: Binding Problem -- 7.5 Sequential Decision Making -- 7.6 Future Directions; 8 Multiscale Electroencephalographic Dynamics and Brain Function -- 8.1 Neuronal Correlates of Electroencephalographic and Local Field Potential Rhythms -- 8.2 Measuring Multiscale Field Dynamics -- 8.3 Spatiotemporal Field Dynamics in Sleep -- 8.4 Mechanisms of Neuronal Synchronization -- 8.5 Effects of Electrical Fields on Neuronal Activity during Sleep -- 8.6 Conclusion -- 9 Mapping the Multiscale Information Content of Complex Brain Signals -- 9.1 Brain as a Complex System -- 9.2 Information-Theoretic Tools -- 9.3 Information and Nonlinear Dynamics -- 9.4 Approximate and Sample Entropy -- 9.5 Estimation of Sample Entropy -- 9.6 Multiscale Entropy -- 9.7 Applications of Multiscale Entropy -- 9.8 Complexity and Spectral Power -- 9.9 Complexity and Nonstationarity -- 9.10 Complexity and Network Structure -- 9.11 Conclusion -- 10 Connectivity and Dynamics of Neural Information Processing -- 10.1 Introduction -- 10.2 Structured Flows as Functional Units of Processes -- 10.3 Structured Flows on Manifolds -- 10.4 Emergence of SFMs from Spiking Neuron Networks -- 10.5 Functional Architectures: SFM and Timescale Hierarchies -- 10.6 Discussion -- 11 Transient Motor Behavior and Synchronization in the Cortex -- 11.1 Motor Behavior and Loss of Stability -- 11.2 Behavioral Models -- 11.3 A Model for Cortical Areas -- 11.4 Neural Mass Models - From Coupled Oscillators to Network Activity -- 11.5 Conclusion -- 12 Free Energy and Global Dynamics -- 12.1 Introduction -- 12.2 The Free-Energy Principle -- 12.3 Action and Its Observation -- 12.4 Conclusion -- 13 Perception, Action, and Utility: The Tangled Skein -- 13.1 Introduction -- 13.2 The Classical View -- 13.3 Segregation of Probability and Utility in the Brain? -- 13.4 Approximate Inference -- 13.5 New Vistas -- 13.6 Conclusion -- 14 Short Guide to Modern Nonlinear Dynamics -- 14.1 Dynamical Systems; 14.2 Chaotic Dynamics -- 14.3 Homoclinic and Heteroclinic Dynamics -- 14.4 Conclusion -- Contributors -- Index
N2  - Experimental and theoretical approaches to global brain dynamics that draw on the latest research in the field
UR  - https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=3339461
ER  -