Criticality in Neural Systems

Dietmar Plenz,Ernst Niebur, Heinz Georg Schuster

• Éditeur: Wiley-VCH
• Année: 2014
• ISBN:
  9783527651023
• Édition: 1
• Sujet: Informatik
• Sous-sujet: Neuronale Netzwerke

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 fi eld and set to become the primary source of information on the brain and criticality.

Table des matières

• Cover
• Reviews of Nonlinear Dynamics and Complexity
• Title Page
• Copyright
• List of Contributors
• Chapter 1: Introduction
• Chapter 2: Criticality in Cortex: Neuronal Avalanches and Coherence Potentials
• Chapter 3: Critical Brain Dynamics at Large Scale
• Chapter 4: The Dynamic Brain in Action: Coordinative Structures, Criticality, and Coordination Dynamics
• Chapter 5: The Correlation of the Neuronal Long-Range Temporal Correlations, Avalanche Dynamics with the Behavioral Scaling Laws and Interindividual Variability
• Chapter 6: The Turbulent Human Brain: An MHD Approach to the MEG
• Chapter 7: Thermodynamic Model of Criticality in the Cortex Based on EEG/ECoG Data
• Chapter 8: Neuronal Avalanches in the Human Brain
• Chapter 9: Critical Slowing and Perception
• Chapter 10: Self-Organized Criticality in Neural Network Models
• Chapter 11: Single Neuron Response Fluctuations: A Self-Organized Criticality Point of View
• Chapter 12: Activity Dependent Model for Neuronal Avalanches
• Chapter 13: The Neuronal Network Oscillation as a Critical Phenomenon
• Chapter 14: Critical Exponents, Universality Class, and Thermodynamic “Temperature” of the Brain
• Chapter 15: Peak Variability and Optimal Performance in Cortical Networks at Criticality
• Chapter 16: Criticality at Work: How Do Critical Networks Respond to Stimuli?
• Chapter 17: Critical Dynamics in Complex Networks
• Chapter 18: Mechanisms of Self-Organized Criticality in Adaptive Networks
• Chapter 19: Cortical Networks with Lognormal Synaptic Connectivity and Their Implications in Neuronal Avalanches
• Chapter 20: Theoretical Neuroscience of Self-Organized Criticality: From Formal Approaches to Realistic Models
• Chapter 21: Nonconservative Neuronal Networks During Up-States Self-Organize Near Critical Points
• Chapter 22: Self-Organized Criticality and Near-Criticality in Neural Networks
• Chapter 23: Neural Dynamics: Criticality, Cooperation, Avalanches, and Entrainment between Complex Networks
• Chapter 24: Complex Networks: From Social Crises to Neuronal Avalanches
• Chapter 25: The Dynamics of Neuromodulation
• Color Plates
• Index
• End User License Agreement