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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.

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

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The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain. This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medical practitioners interested in the most recent developments in computational neuroscience.

Brain -- Computer simulation. --- Brain -- physiology. --- Computer Simulation. --- Models, Neurological. --- Neural networks (Neurobiology). --- Neurosciences -- methods. --- Computational neuroscience --- Investigative Techniques --- Models, Biological --- Biological Science Disciplines --- Biology --- Models, Neurological --- Methods --- Neurosciences --- Computational Biology --- Natural Science Disciplines --- Models, Theoretical --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Disciplines and Occupations --- Mathematics --- Human Anatomy & Physiology --- Neuroscience --- Mathematics - General --- Health & Biological Sciences --- Physical Sciences & Mathematics --- Computational neuroscience. --- Computational neurosciences --- Medicine. --- Neurosciences. --- Health informatics. --- Computer mathematics. --- Mathematical models. --- Biomedical engineering. --- Biomedicine. --- Health Informatics. --- Biomedical Engineering. --- Computational Mathematics and Numerical Analysis. --- Mathematical Modeling and Industrial Mathematics. --- Computational biology --- Medical records --- Computer science --- Biomedical Engineering and Bioengineering. --- Data processing. --- Mathematics. --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Neural sciences --- Neurological sciences --- Medical sciences --- Nervous system --- Medical care --- Models, Mathematical --- Simulation methods --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Data processing