Overview
- Discusses the concept of criticality applied to the understanding of brain function
- Offers an overview of cutting-edge theories and methods for studying critical states in cortical networks
- Includes background information on dynamical network states and criticality
Part of the book series: Springer Series on Bio- and Neurosystems (SSBN, volume 11)
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Table of contents (13 chapters)
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Front Matter
Keywords
- Cortical information processing
- Processing sensory information
- Cortical networks
- Computation in the cortex
- Dynamical network states
- Spiking network modeling
- Nested oscillations
- Multielectrode recordings
- Whole brain criticality
- Feature integration
- Subcritical dynamics
- Self-organized criticality in the brain
- Neuronal information processing
- Critical dynamics
- Criticality and function
- Subsampling
- Neuronal avalanches
About this book
This book offers a timely overview of theories and methods developed by an authoritative group of researchers to understand the link between criticality and brain functioning. Cortical information processing in particular and brain function in general rely heavily on the collective dynamics of neurons and networks distributed over many brain areas. A key concept for characterizing and understanding brain dynamics is the idea that networks operate near a critical state, which offers several potential benefits for computation and information processing. However, there is still a large gap between research on criticality and understanding brain function. For example, cortical networks are not homogeneous but highly structured, they are not in a state of spontaneous activation but strongly driven by changing external stimuli, and they process information with respect to behavioral goals. So far the questions relating to how critical dynamics may support computation in this complex setting, and whether they can outperform other information processing schemes remain open. Based on the workshop “Dynamical Network States, Criticality and Cortical Function", held in March 2017 at the Hanse Institute for Advanced Studies (HWK) in Delmenhorst, Germany, the book provides readers with extensive information on these topics, as well as tools and ideas to answer the above-mentioned questions. It is meant for physicists, computational and systems neuroscientists, and biologists.
Editors and Affiliations
Bibliographic Information
Book Title: The Functional Role of Critical Dynamics in Neural Systems
Editors: Nergis Tomen, J. Michael Herrmann, Udo Ernst
Series Title: Springer Series on Bio- and Neurosystems
DOI: https://doi.org/10.1007/978-3-030-20965-0
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-20964-3Published: 02 August 2019
Softcover ISBN: 978-3-030-20967-4Published: 14 August 2020
eBook ISBN: 978-3-030-20965-0Published: 23 July 2019
Series ISSN: 2520-8535
Series E-ISSN: 2520-8543
Edition Number: 1
Number of Pages: XX, 287
Number of Illustrations: 23 b/w illustrations, 99 illustrations in colour
Topics: Neurosciences, Computational Intelligence, Applications of Nonlinear Dynamics and Chaos Theory, Artificial Intelligence