Criticality in Neural Systems. Annual Reviews of Nonlinear Dynamics and Complexity (VCH)

  • ID: 2674258
  • Book
  • 592 Pages
  • John Wiley and Sons Ltd
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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

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Neuronal Avalanches in Cortical Networks

Dietmar Plenz

The Dynamic Brain in Action: Coordinative Structures,

Criticality and Coordination Dynamics

J. A. Scott Kelso

Critical Brain Dynamics at Large Scale

Dante R Chialvo

The Correlation of the Neuronal Long–range Temporal Correlations, Avalanche Dynamics with the Behavioral Scaling Laws and Interindividual Variability

J. Matias Palva and Satu Palva

The Turbulent Human Brain

Arnold. J. Mandell, Stephen E. Robinson, Karen A. Selz, Constance Schrader, Tom Holroyd and Richard Coppola

Thermodynamic Model of Criticality in the Cortex Based on EEG/ECoG Data

Robert Kozma, Marko Puljic and Walter J. Freeman

Neuronal Avalanches in the Human Brain

Oren Shriki and Dietmar Plenz

Critical Slowing and Perception

Karl Friston, Michael Breakspear and Gustavo Deco

Self–organized Criticality in Neural Network Models

Matthias Rybarsch and Stefan Bornholdt

Single Neuron Response Fluctuations: A Self–organized Criticality Point of View

Asaf Gal and Shimon Marom

Activity Dependent Model for Neuronal Avalanches

Lucilla de Arcangelis and Hans J. Herrmann

The Neuronal Network Oscillation as a Critical Phenomenon

Richard Hardstone, Huibert D. Mansvelder, Klaus Linkenkaer–Hansen

Critical Exponents, Universality Class & Thermodynamic: The "Temperature" Of the Brain

Shan Yu, Hongdian Yang, Oren Shriki and Dietmar Plenz

Peak Variability and Optimal Performance in Cortical Networks at Criticality

Hongdian Yang, Woodrow L. Shew, Rajarshy Roy, and Dietmar Plenz

Criticality At Work: How Do Critical Networks Respond to Stimuli?

Mauro Copelli

Critical Dynamics in Complex Networks

Daniel B. Larremore, Woodrow L. Shew, Juan G. Restrepo

Mechanisms of Self–organized Criticality in Adaptive Networks

Thilo Gross, Anne–Ly Do, Felix Droste, and Christian Meisel

Cortical Networks with Lognormal Synaptic Connectivity and their Implications in Neuronal Avalanches

Tomoki Fukai, Vladimir Klinshov and Jun–nosuke Teramae

Jump Right In: Transitions to Criticality in Neural Systems with Dynamic Synapses

Anna Levina, J. Michael Herrmann, Theo Geisel

Non–conservative Neuronal Networks During Up states Self–organize Near Critical Points

Stefan Mihalas, Daniel Millman, Ramakrishnan Iyer, Alfredo Kirkwood and Ernst Niebur

Self–organized Criticality and Near Criticality in Neural Networks

J. D. Cowan, J. Neuman, and W. van Drongelen

Neural Dynamics: Criticality, Cooperation, Avalanches and Entrainment between Complex Networks

P. Grigolini, M. Zare, A. Svenkeson, B. J. West

Complex Networks: From Social Crises to Neuronal Avalanches

B. J. West, M. Turalska and P. Grigolini

The Dynamics of Neuromodulation

Gerhard Werner and Bernhard J. Mitterauer

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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.

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