Download BookModeling Phase Transitions in the Brain (Springer Series in Computational Neuroscience)

Read Modeling Phase Transitions in the Brain (Springer Series in Computational Neuroscience)

Read Modeling Phase Transitions in the Brain (Springer Series in Computational Neuroscience)

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Book Details :
Published on: 2010-02-01
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Original language: English

Foreword by Walter J. Freeman. The induction of unconsciousness using anesthetic agents demonstrates that the cerebral cortex can operate in two very different behavioral modes: alert and responsive vs. 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 Hopf oscillations, gap-junction-moderated Turing structures, and Hopf-Turing interactions leading to cortical waves. Resolve a DOI Name Type or paste a DOI name into the text box. Click Go. Your browser will take you to a Web page (URL) associated with that DOI name. Send questions or comments to doi ... Graph theory - Wikipedia Definitions. Definitions in graph theory vary. The following are some of the more basic ways of defining graphs and related mathematical structures. Artificial intelligence - Wikipedia Artificial intelligence (AI) is intelligence exhibited by machines. In computer science the field of AI research defines itself as the study of "intelligent agents ... Machine Learning Group Publications - University of Cambridge Matej Balog Balaji Lakshminarayanan Zoubin Ghahramani Daniel M. Roy and Yee Whye Teh. The Mondrian kernel. In 32nd Conference on Uncertainty in Artificial ... Journal of Artificial Societies and Social Simulation Index Volume 18(4) published on 31-Oct-2015. Modelling Research Policy: Ex-Ante Evaluation of Complex Policy Instruments Petra Ahrweiler Michel Schilperoord Andreas Pyka ... Self-organization - Scholarpedia Self-organization is the spontaneous often seemingly purposeful formation of spatial temporal spatiotemporal structures or functions in systems composed of few or ... Conferences and Meetings on Molecular Biology Conferences and Meetings on Molecular Biology. Conference-Service.com offers as part of our business activities a directory of upcoming scientific and technical ... Redirect support - cambridge.org You may have arrived at this page because you followed a link to one of our old platforms that cannot be redirected. Cambridge Core is the new academic platform from ... ScienceDirect.com Science health and medical journals ... Currently over 250000 articles on ScienceDirect are open access Articles published in our open access journals are peer-reviewed and made free for everyone to ... Revealing Real-Time Emotional Responses: a Personalized ... Emotion recognition through computational modeling and analysis of physiological signals has been widely investigated in the last decade. Most of the proposed emotion ...
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