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Modeling Phase Transitions In The Brain
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Author :D. Alistair Steyn-Ross Publisher :Springer Science & Business Media ISBN 13 :1441907963 Total Pages :325 pages Book Rating :4.4/5 (419 download)
Book Synopsis Modeling Phase Transitions in the Brain by : D. Alistair Steyn-Ross
Download or read book Modeling Phase Transitions in the Brain written by D. Alistair Steyn-Ross and published by Springer Science & Business Media. This book was released on 2010-03-14 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modeling Phase Transitions in the Brain by :
Download or read book Modeling Phase Transitions in the Brain written by and published by . This book was released on 2011-04-11 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Phase Transitions by : Moshe Gitterman
Download or read book Phase Transitions written by Moshe Gitterman and published by World Scientific Publishing Company. This book was released on 2013-09-25 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive review of the theory of phase transitions and its modern applications, based on the five pillars of the modern theory of phase transitions: the Ising model, mean field, scaling, renormalization group and universality. This expanded second edition includes, along with a description of vortices and high temperature superconductivity, a discussion of phase transitions in chemical reactions and moving systems. The book covers the close connection between phase transitions and small world phenomena as well as scale-free systems such as the stock market and the Internet.
Book Synopsis Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields by : Robert Kozma
Download or read book Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields written by Robert Kozma and published by Springer. This book was released on 2015-10-30 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains. The microscopic dynamics of neural networks is well described by the prevailing paradigm based in a narrow interpretation of the neuron doctrine. This book broadens the doctrine by incorporating the dynamics of neural fields, as first revealed by modeling with differential equations (K-sets). The book broadens that approach by application of random graph theory (neuropercolation). The book concludes with diverse commentaries that exemplify the wide range of mathematical/conceptual approaches to neural fields. This book is intended for researchers, postdocs, and graduate students, who see the limitations of network theory and seek a beachhead from which to embark on mesoscopic and macroscopic neurodynamics.
Download or read book Phase Transitions written by Ricard Solé and published by Princeton University Press. This book was released on 2011-07-25 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phase transitions--changes between different states of organization in a complex system--have long helped to explain physics concepts, such as why water freezes into a solid or boils to become a gas. How might phase transitions shed light on important problems in biological and ecological complex systems? Exploring the origins and implications of sudden changes in nature and society, Phase Transitions examines different dynamical behaviors in a broad range of complex systems. Using a compelling set of examples, from gene networks and ant colonies to human language and the degradation of diverse ecosystems, the book illustrates the power of simple models to reveal how phase transitions occur. Introductory chapters provide the critical concepts and the simplest mathematical techniques required to study phase transitions. In a series of example-driven chapters, Ricard Solé shows how such concepts and techniques can be applied to the analysis and prediction of complex system behavior, including the origins of life, viral replication, epidemics, language evolution, and the emergence and breakdown of societies. Written at an undergraduate mathematical level, this book provides the essential theoretical tools and foundations required to develop basic models to explain collective phase transitions for a wide variety of ecosystems.
Book Synopsis Validating Neuro-Computational Models of Neurological and Psychiatric Disorders by : Basabdatta Sen Bhattacharya
Download or read book Validating Neuro-Computational Models of Neurological and Psychiatric Disorders written by Basabdatta Sen Bhattacharya and published by Springer. This book was released on 2015-10-30 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modelling of neurological and psychiatric disorders. Each article contains model validation techniques used in the context of the specific problem being studied. Validation is essential for neuro-inspired computational models to become useful tools in the understanding and treatment of disease conditions. Currently, the immense diversity in neuro-computational modelling approaches for investigating brain diseases has created the need for a structured and coordinated approach to benchmark and standardise validation methods and techniques in this field of research. This book serves as a step towards a systematic approach to validation of neuro-computational models used for studying brain diseases and should be useful for all neuro-computational modellers.
Book Synopsis First Order Phase Transitions of Magnetic Materials by : Praveen Chaddah
Download or read book First Order Phase Transitions of Magnetic Materials written by Praveen Chaddah and published by CRC Press. This book was released on 2017-11-22 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces new concepts in the phenomenon of 1st order phase transitions. It discusses the concept of kinetic arrest at a certain temperature, with this temperature being dependent on the second control variable (magnetic field, or pressure). It discusses interesting manifestations of this phenomenon when the 1st order transition is broadened, i.e. occurs over a finite range of temperatures. Many examples of this phenomenon, observed recently in many materials, will also be discussed.
Book Synopsis Scale-free Dynamics and Critical Phenomena in Cortical Activity by : Biyu J. He
Download or read book Scale-free Dynamics and Critical Phenomena in Cortical Activity written by Biyu J. He and published by Frontiers E-books. This book was released on with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: The brain is composed of many interconnected neurons that form a complex system, from which thought, behavior, and creativity emerge through self-organization. By studying the dynamics of this network, some basic motifs can be identified. Recent technological and computational advances have led to rapidly accumulating empirical evidence that spontaneous cortical activity exhibits scale-free and critical behavior. Multiple experiments have identified neural processes without a preferred timescale in the avalanche-like spatial propagation of activity in cortical slices and in self-similar time series of local field potentials. Even at the largest scale, scale-free behavior can be observed by looking at the power distributions of brain rhythms as observed by neuroimaging. These findings may indicate that brain dynamics are always close to critical states – a fact with important consequences for how brain accomplishes information transfer and processing. Capitalizing on analogies between the collective behavior of interacting particles in complex physical systems and interacting neurons in the cortex, concepts from non-equilibrium thermodynamics can help to understand how dynamics are organized. In particular, the concepts of phase transitions and self-organized criticality can be used to shed new light on how to interpret collective neuronal dynamics. Despite converging support for scale-free and critical dynamics in cortical activity, the implications for accompanying cognitive functions are still largely unclear. This Research Topic aims to facilitate the discussion between scientists from different backgrounds, ranging from theoretical physics, to computational neuroscience, brain imaging and neurophysiology. By stimulating interactions with the readers of Frontiers in Physiology, we hope to advance our understanding of the role of scale-freeness and criticality in organizing brain dynamics. What do these new perspectives tell us about the brain and to what extent are they relevant for our cognitive functioning? For this Research Topic, we therefore solicit reviews, original research articles, opinion and method papers, which address the principles that organize the dynamics of cortical activity. While focusing on work in the neurosciences, this Research Topic also welcomes theoretical contributions from physics or computational approaches.
Download or read book Neural Networks written by Arun V. Holden and published by Manchester University Press. This book was released on 1990 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Information Sciences 2007 written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Criticality as a signature of healthy neural systems: multi-scale experimental and computational studies by : Paolo Massobrio
Download or read book Criticality as a signature of healthy neural systems: multi-scale experimental and computational studies written by Paolo Massobrio and published by Frontiers Media SA. This book was released on 2015-05-08 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since 2003, when spontaneous activity in cortical slices was first found to follow scale-free statistical distributions in size and duration, increasing experimental evidences and theoretical models have been reported in the literature supporting the emergence of evidence of scale invariance in the cortex. Although strongly debated, such results refer to many different in vitro and in vivo preparations (awake monkeys, anesthetized rats and cats, in vitro slices and dissociated cultures), suggesting that power law distributions and scale free correlations are a very general and robust feature of cortical activity that has been conserved across species as specific substrate for information storage, transmission and processing. Equally important is that the features reminiscent of scale invariance and criticality are observed at scale spanning from the level of interacting arrays of neurons all the way up to correlations across the entire brain. Thus, if we accept that the brain operates near a critical point, little is known about the causes and/or consequences of a loss of criticality and its relation with brain diseases (e.g. epilepsy). The study of how pathogenetical mechanisms are related to the critical/non-critical behavior of neuronal networks would likely provide new insights into the cellular and synaptic determinants of the emergence of critical-like dynamics and structures in neural systems. At the same time, the relation between the impaired behavior and the disruption of criticality would help clarify its role in normal brain function. The main objective of this Research Topic is to investigate the emergence/disruption of the emergent critical-like states in healthy/impaired neural systems.
Book Synopsis Modeling Brain Function by : D. J. Amit
Download or read book Modeling Brain Function written by D. J. Amit and published by Cambridge University Press. This book was released on 1989 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most exciting and potentially rewarding areas of scientific research is the study of the principles and mechanisms underlying brain function. It is also of great promise to future generations of computers. A growing group of researchers, adapting knowledge and techniques from a wide range of scientific disciplines, have made substantial progress understanding memory, the learning process, and self organization by studying the properties of models of neural networks - idealized systems containing very large numbers of connected neurons, whose interactions give rise to the special qualities of the brain. This book introduces and explains the techniques brought from physics to the study of neural networks and the insights they have stimulated. It is written at a level accessible to the wide range of researchers working on these problems - statistical physicists, biologists, computer scientists, computer technologists and cognitive psychologists. The author presents a coherent and clear nonmechanical presentation of all the basic ideas and results. More technical aspects are restricted, wherever possible, to special sections and appendices in each chapter. The book is suitable as a text for graduate courses in physics, electrical engineering, computer science and biology.
Book Synopsis Phase Transitions in Grey Matter by : Joaquín Marro
Download or read book Phase Transitions in Grey Matter written by Joaquín Marro and published by . This book was released on 2020 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phase Transitions in Grey Matter: Brain Architecture and Mind Dynamics relates the complex systems that we know as 'mind' and 'brain' to simple concepts in physics such as 'phase transition' and 'criticality' and establishes a close mathematical link between them. A serious review of live issues in science - from interaction and correlation to emergence, scale invariance, attractors, noise and chaos-this book demonstrates their relevance to intelligence and consciousness. The result is a significant and useful portrait of what 'mind' currently means to science and aggregates widely dispersed and sometimes hard to find topics into one resource. Key highlights: --Provides a coherent basis for the existence of criticality in the brain, and shows how some of its main outstanding properties may be understood --Deeply explores the assumption that phase transition is the most relevant concept to understand the mind --Offers a strong foundation for those interested in making a complete and useful portrait of the brain This book is for advanced graduate and graduate students in physics, applied mathematics, biology and medicine. It is an excellent resource for practitioners and those curious about recent advances in neurosciences.
Book Synopsis Research Advances in Chaos Theory by : Paul Bracken
Download or read book Research Advances in Chaos Theory written by Paul Bracken and published by BoD – Books on Demand. This book was released on 2020-03-11 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of chaos has invaded practically every area of the natural sciences. Weather patterns are referred to as chaotic. There are chemical reactions and chaotic evolution of insect populations. Atomic and molecular physics have also seen the emergence of the study of chaos in these microscopic domains. This book examines the issue of chaos in nonlinear and dynamical systems, quantum mechanics, biology, and economics.
Book Synopsis Decision Making by : Paolo Grigolini
Download or read book Decision Making written by Paolo Grigolini and published by World Scientific. This book was released on 2011 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book captures the proceedings of a workshop that brought together a group of distinguished scientists from a variety of disciplines to discuss how networking influences decision making. The individual lectures interconnect psychological testing, the modeling of neuron networks and brain dynamics to the transport of information within and between complex networks. Of particular importance was the introduction of a new principle that governs how complex networks talk to one another OCo the Principle of Complexity Management (PCM). PCM establishes that the transfer of information from a stimulating complex network to a responding complex network is determined by how the complexity indices of the two networks are related. The response runs the gamut from being independent of the perturbation to being completely dominated by it, depending on the complexity mismatch.
Book Synopsis Decision Making by : Paolo Grigolini
Download or read book Decision Making written by Paolo Grigolini and published by World Scientific. This book was released on 2011-07-19 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book captures the proceedings of a workshop that brought together a group of distinguished scientists from a variety of disciplines to discuss how networking influences decision making. The individual lectures interconnect psychological testing, the modeling of neuron networks and brain dynamics to the transport of information within and between complex networks. Of particular importance was the introduction of a new principle that governs how complex networks talk to one another — the Principle of Complexity Management (PCM). PCM establishes that the transfer of information from a stimulating complex network to a responding complex network is determined by how the complexity indices of the two networks are related. The response runs the gamut from being independent of the perturbation to being completely dominated by it, depending on the complexity mismatch. Contents:Overview of ARO Program on Network Science for Human Decision Making (B J West)Viewing the Extended Mind Hypothesis(Clark & Chambers) in Terms of Complex Systems Dynamics (G Werner)Uncertainty in Psychophysics: Deriving a Network of Psychophysical Equations (K H Norwich)The Collective Brain (E Tagliazucchi and D R Chialvo)Acquiring Long-Range Memory Through Adaptive Avalanches (S Boettcher)Random Walk of Complex Networks: From Infinitely Slow to Instantaneous Transition to Equilibrium (N W Hollingshad, P Grigolini and P Allegrini)Coherence and Complexity (M Bologna, E Geneston, P Grigolini, M Turalska and M Lukovic)Quakes in Complex Systems as a Signature of Cooperation (E Geneston and P Grigolini)Renewal Processes in the Critical Brain (P Allegrini, P Paradisi, D Menicucci and A Gemignani)The Principle of Complexity Management (B J West and P Grigolini) Readership: For professional and research level studies in psychophysics. Keywords:Network Science;Complexity;Neural Avalanches;Brain Dynamics;Decision Making;Coherence;UncertaintyKey Features:Due to the heterogeneous nature of the audience the lectures avoid being overly specialized but maintain scientific integrity while reaching across disciplines thereby making them accessible to students at all levelsExplicit contact is made between the qualitative concepts of classical psychology such as the mind and the quantitative methods of psychophysics and neurophysiology by some of today's outstanding scientistsNo other treatment of decision making takes advantage of the technical developments that have been made in the analyses of complex networks over the past decade
Download or read book Sleep and Anesthesia written by Axel Hutt and published by Springer Science & Business Media. This book was released on 2011-07-12 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sleep and anesthesia resemble in many ways at a first glance. The most prominent common feature of course is the loss of consciousness, i.e. the loss of awareness of external stimuli. However a closer look at the loss of consciousness reveals already a difference between sleep and anesthesia: anesthesia is induced by an anesthetic drug whereas we may fall asleep without external cause. Other questions may arise about the difference of the two effects: do we dream during surgery under anesthesia, do we feel pain during sleep? Essentially, we may ask: what is common and what are the differences between sleep and anesthesia? To answer these questions, we may take a look at the neural origin of both effects and the involved physiological pathways. In which way do they resemble? Moreover, we ask what are the detailed features of normal sleep and general anesthesia as applied during surgery and which features exist in both phenomena? If yes in which way? To receive answers to these questions, it is necessary to consider several experimental techniques that reveal underlying neural mechanisms of sleep and anesthesia. Moreover, theoretical models of neural activity may model both phenomena and comes up with predictions or even theories on the underlying mechanisms. Such models may attack several different description levels, from the microscopic level of single neurons to the macroscopic level of neural populations. Such models may give deeper insight into the phenomena if their assumptions are based on experimental findings and their predictions can be compared to experimental results. This comparison step is essential for valuable theoretical models. The book is motivated by two successful workshops on anesthesia and sleep organized during the Computational Neuroscience Conferences in Toronto in 2007 and in Berlin 2009. It aims to cover all the previous aspects with a focus on the link to experimental findings. It elucidates important issues in theoretical models that at the same time reflect some current major research interests. Moreover it considers some diverse issues which are very important to get an overview of the fields. For instance, the book discusses not only neural activity in the brain but also the effects of general anesthesia on the cardio-vascular system and the spinal cord in the context of analgesia. In addition, it considers different experimental techniques on various spatial scales, such as fMRI and EEG-experiments on the macroscopic scale and single neuron and LFP-measurements on the microscopic scale. In total all book chapters reveal aspects of the neural correlates of sleep and anesthesia motivated by experimental data. This focus on the neural mechanism in the light of experimental data is the common feature of the topics and the chapters. In addition, the book aims to clarify the shared physiological mechanisms of both phenomena, but also reveal their physiological differences.
