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Description

Leading authorities in the field review current experimental and theoretical knowledge on criticality and brain function.

The book begins by summarizing experimental evidence for criticality and self-organized criticality in the brain. Subsequently, important breakthroughs in modeling of critical neuronal circuits and how to establish self-organized criticality in the brain are described.

A milestone publication, defining upcoming directions of research in this new field and set to become the primary source of information on the brain and criticality.

From the contents:

• Neuronal Avalanches in Cortical Networks
• Criticality and Coordination Dynamics of the Brain in Action
• Critical Brain Dynamics at Large Scale
• Temporal Long-range Correlations, Neuronal Avalanches, and Behavioral Scaling Laws
• The Turbulent Human Brain
• Thermodynamic Model of Criticality in the Cortex
• Neuronal Avalanches in the Human Brain
• Critical Slowing and Perception
• Self-organized Criticality in Neural Network Models
• Single Neuron Response Fluctuations
• Activity Dependent Model for Neuronal Avalanches
• The Neuronal Network Oscillation as a Critical Phenomenon
• Critical Exponents, Universality Class, and Thermodynamics
• Peak Variability and Optimal Performance
• Criticality at Work: How do Critical Networks Respond to Stimuli?
• Critical Dynamics in Complex Networks
• Mechanisms of Self-organized Criticality in Adaptive Networks
• Cortical Networks with Lognormal Synaptic Connectivity
• Transitions to Criticality in Neural Systems with Dynamical Synapses
• Non-conservative Critical Networks with Up and Down States
• Self-organized Criticality and Near Criticality in Neural Networks
• Neural Dynamics: Criticality, Cooperation, and Avalanches
• Complex Networks: From Social Crises to Neuronal Avalanches
• The Dynamics of Neuromodulation

About the Author
DIETMAR PLENZ is Chief of the Section on Critical Brain Dynamics in the Intramural Research Program at the National Institute of Mental Health. He received his Ph.D. in 1993 at the Max-Planck Institute of Biological Cybernetics and the University Tuebingen. Dr. Plenz joined the NIMH as an Investigator in 1999. He pioneered the development of in vitro networks to study and identify the emergence of neuronal avalanches in the brain.

ERNST NIEBUR is Professor of Neuroscience and of Brain and Psychological Sciences at Johns Hopkins University in Baltimore, USA. He holds degrees in Physics from the Universities of Dortmund, Germany and Lausanne, Switzerland, and a postgraduate certificate in Artificial Intelligence from the Swiss Federal Institute of Technology (EPFL). Prof. Niebur has authored more than 100 scientific articles in physics and computational neuroscience.

HEINZ GEORG SCHUSTER is Professor (em.) of Theoretical Physics at the University of Kiel in Germany. At the beginning of his academic career, he was appointed Professor at the University of Frankfurt am Main in Germany. He was a visiting professor at the Weizmann-Institute of Science in Israel and at the California Institute of Technology in Pasadena, USA. He is author and editor of research monographs and topical handbooks on chaos theory, nonlinear dynamics and neural networks, but also on popular science books, and editor of a Wiley series on Nonlinear Physics and Complexity.