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Book
Modeling Phase Transitions in the Brain
Authors: ---
ISBN: 1461425506 1441907955 9786612831195 1441907963 1282831194 Year: 2010 Publisher: New York, NY : Springer New York : Imprint: Springer,

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Abstract

Foreword by Walter J. Freeman. The induction of unconsciousness using anesthetic drugs demonstrates that the cerebral cortex can operate in two very different modes: alert and responsive versus unaware and quiescent. But the states of wakefulness and sleep are not single-neuron properties---they emerge as bulk properties of cooperating populations of neurons, with the switchover between states being similar to the physical change of phase observed when water freezes or ice melts. Some brain-state transitions, such as sleep cycling, anesthetic induction, epileptic seizure, are obvious and detected readily with a few EEG electrodes; others, such as the emergence of gamma rhythms during cognition, or the ultra-slow BOLD rhythms of relaxed free-association, are much more subtle. The unifying theme of this book is the notion that all of these bulk changes in brain behavior can be treated as phase transitions between distinct brain states. "Modeling Phase Transitions in the Brain" contains chapter contributions from leading researchers who apply state-space methods, network models, and biophysically-motivated continuum approaches to investigate a range of neuroscientifically relevant problems that include analysis of nonstationary EEG time-series; network topologies that limit epileptic spreading; saddle--node bifurcations for anesthesia, sleep-cycling, and the wake--sleep switch; prediction of dynamical and noise-induced spatiotemporal instabilities underlying BOLD, alpha-, and gamma-band EEG oscillations, gap-junction-moderated Turing structures, and Hopf--Turing interactions leading to cortical waves. Written for: Researchers, clinicians, physicians, neurologists About the editors: Alistair Steyn-Ross and Moira Steyn-Ross are computational and theoretical physicists in the Department of Engineering, University of Waikato, New Zealand. They share a long-standing interest in the application of physics-based methods to gain insight into the emergent behavior of complex biological systems such as single neurons and interacting neural populations.

Keywords

Brain. --- Brain -- Computer simulation. --- Brain --- Physical Processes --- Cognition --- Nervous System Physiological Processes --- Psychophysiology --- Central Nervous System --- Diagnostic Imaging --- Physicochemical Processes --- Diagnostic Techniques, Neurological --- Models, Theoretical --- Investigative Techniques --- Phase Transition --- Brain Mapping --- Models, Psychological --- Consciousness --- Sleep --- Nervous System Physiological Phenomena --- Chemical Processes --- Diagnostic Techniques and Procedures --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Physical Phenomena --- Psychological Phenomena and Processes --- Nervous System --- Mental Processes --- Physicochemical Phenomena --- Psychiatry and Psychology --- Chemical Phenomena --- Musculoskeletal and Neural Physiological Phenomena --- Diagnosis --- Phenomena and Processes --- Anatomy --- Human Anatomy & Physiology --- Medicine --- Neurology --- Neuroscience --- Health & Biological Sciences --- Computer simulation --- Neurophysiology. --- Computer simulation. --- Nervous system --- Cerebrum --- Mind --- Physiology --- Medicine. --- Neurosciences. --- Anesthesiology. --- Neurology. --- Bioinformatics. --- Computational biology. --- Neurobiology. --- Medicine & Public Health. --- Computer Appl. in Life Sciences. --- Neurobiology --- Central nervous system --- Head --- Biology --- Data processing. --- Neurosciences --- Anaesthesiology --- Surgery --- Neural sciences --- Neurological sciences --- Medical sciences --- Neuropsychiatry --- Diseases --- Neurology . --- Bioinformatics . --- Computational biology . --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Data processing


Digital
Modeling Phase Transitions in the Brain
Authors: ---
ISBN: 9781441907967 9781441907974 9781441907950 9781461425502 Year: 2010 Publisher: New York, NY Springer

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Abstract

Foreword by Walter J. Freeman. The induction of unconsciousness using anesthetic drugs demonstrates that the cerebral cortex can operate in two very different modes: alert and responsive versus unaware and quiescent. But the states of wakefulness and sleep are not single-neuron properties---they emerge as bulk properties of cooperating populations of neurons, with the switchover between states being similar to the physical change of phase observed when water freezes or ice melts. Some brain-state transitions, such as sleep cycling, anesthetic induction, epileptic seizure, are obvious and detected readily with a few EEG electrodes; others, such as the emergence of gamma rhythms during cognition, or the ultra-slow BOLD rhythms of relaxed free-association, are much more subtle. The unifying theme of this book is the notion that all of these bulk changes in brain behavior can be treated as phase transitions between distinct brain states. "Modeling Phase Transitions in the Brain" contains chapter contributions from leading researchers who apply state-space methods, network models, and biophysically-motivated continuum approaches to investigate a range of neuroscientifically relevant problems that include analysis of nonstationary EEG time-series; network topologies that limit epileptic spreading; saddle--node bifurcations for anesthesia, sleep-cycling, and the wake--sleep switch; prediction of dynamical and noise-induced spatiotemporal instabilities underlying BOLD, alpha-, and gamma-band EEG oscillations, gap-junction-moderated Turing structures, and Hopf--Turing interactions leading to cortical waves. Written for: Researchers, clinicians, physicians, neurologists About the editors: Alistair Steyn-Ross and Moira Steyn-Ross are computational and theoretical physicists in the Department of Engineering, University of Waikato, New Zealand. They share a long-standing interest in the application of physics-based methods to gain insight into the emergent behavior of complex biological systems such as single neurons and interacting neural populations.


Book
Modeling Phase Transitions in the Brain
Authors: --- ---
ISBN: 9781441907967 9781441907974 9781441907950 9781461425502 Year: 2010 Publisher: New York NY Springer New York

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Export citation

Choose an application

Bookmark

Abstract

Foreword by Walter J. Freeman. The induction of unconsciousness using anesthetic drugs demonstrates that the cerebral cortex can operate in two very different modes: alert and responsive versus unaware and quiescent. But the states of wakefulness and sleep are not single-neuron properties---they emerge as bulk properties of cooperating populations of neurons, with the switchover between states being similar to the physical change of phase observed when water freezes or ice melts. Some brain-state transitions, such as sleep cycling, anesthetic induction, epileptic seizure, are obvious and detected readily with a few EEG electrodes; others, such as the emergence of gamma rhythms during cognition, or the ultra-slow BOLD rhythms of relaxed free-association, are much more subtle. The unifying theme of this book is the notion that all of these bulk changes in brain behavior can be treated as phase transitions between distinct brain states. "Modeling Phase Transitions in the Brain" contains chapter contributions from leading researchers who apply state-space methods, network models, and biophysically-motivated continuum approaches to investigate a range of neuroscientifically relevant problems that include analysis of nonstationary EEG time-series; network topologies that limit epileptic spreading; saddle--node bifurcations for anesthesia, sleep-cycling, and the wake--sleep switch; prediction of dynamical and noise-induced spatiotemporal instabilities underlying BOLD, alpha-, and gamma-band EEG oscillations, gap-junction-moderated Turing structures, and Hopf--Turing interactions leading to cortical waves. Written for: Researchers, clinicians, physicians, neurologists About the editors: Alistair Steyn-Ross and Moira Steyn-Ross are computational and theoretical physicists in the Department of Engineering, University of Waikato, New Zealand. They share a long-standing interest in the application of physics-based methods to gain insight into the emergent behavior of complex biological systems such as single neurons and interacting neural populations.

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