Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
The Local Information Dynamics Of Distributed Computation In Complex Systems
Download The Local Information Dynamics Of Distributed Computation In Complex Systems full books in PDF, epub, and Kindle. Read online The Local Information Dynamics Of Distributed Computation In Complex Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis The Local Information Dynamics of Distributed Computation in Complex Systems by : Joseph T. Lizier
Download or read book The Local Information Dynamics of Distributed Computation in Complex Systems written by Joseph T. Lizier and published by Springer Science & Business Media. This book was released on 2012-11-06 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nature of distributed computation in complex systems has often been described in terms of memory, communication and processing. This thesis presents a complete information-theoretic framework to quantify these operations on information (i.e. information storage, transfer and modification), and in particular their dynamics in space and time. The framework is applied to cellular automata, and delivers important insights into the fundamental nature of distributed computation and the dynamics of complex systems (e.g. that gliders are dominant information transfer agents). Applications to several important network models, including random Boolean networks, suggest that the capability for information storage and coherent transfer are maximised near the critical regime in certain order-chaos phase transitions. Further applications to study and design information structure in the contexts of computational neuroscience and guided self-organisation underline the practical utility of the techniques presented here.
Book Synopsis Guided Self-Organization: Inception by : Mikhail Prokopenko
Download or read book Guided Self-Organization: Inception written by Mikhail Prokopenko and published by Springer Science & Business Media. This book was released on 2013-12-19 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is it possible to guide the process of self-organisation towards specific patterns and outcomes? Wouldn’t this be self-contradictory? After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process? This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field. Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.
Book Synopsis Directed Information Measures in Neuroscience by : Michael Wibral
Download or read book Directed Information Measures in Neuroscience written by Michael Wibral and published by Springer. This book was released on 2014-03-20 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of information transfer has found rapid adoption in neuroscience, where a highly dynamic transfer of information continuously runs on top of the brain's slowly-changing anatomical connectivity. Measuring such transfer is crucial to understanding how flexible information routing and processing give rise to higher cognitive function. Directed Information Measures in Neuroscience reviews recent developments of concepts and tools for measuring information transfer, their application to neurophysiological recordings and analysis of interactions. Written by the most active researchers in the field the book discusses the state of the art, future prospects and challenges on the way to an efficient assessment of neuronal information transfer. Highlights include the theoretical quantification and practical estimation of information transfer, description of transfer locally in space and time, multivariate directed measures, information decomposition among a set of stimulus/responses variables and the relation between interventional and observational causality. Applications to neural data sets and pointers to open source software highlight the usefulness of these measures in experimental neuroscience. With state-of-the-art mathematical developments, computational techniques and applications to real data sets, this book will be of benefit to all graduate students and researchers interested in detecting and understanding the information transfer between components of complex systems.
Book Synopsis Information-based methods for neuroimaging: analyzing structure, function and dynamics by : Jesus M. Cortés
Download or read book Information-based methods for neuroimaging: analyzing structure, function and dynamics written by Jesus M. Cortés and published by Frontiers Media SA. This book was released on 2015-05-07 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this Research Topic is to discuss the state of the art on the use of Information-based methods in the analysis of neuroimaging data. Information-based methods, typically built as extensions of the Shannon Entropy, are at the basis of model-free approaches which, being based on probability distributions rather than on specific expectations, can account for all possible non-linearities present in the data in a model-independent fashion. Mutual Information-like methods can also be applied on interacting dynamical variables described by time-series, thus addressing the uncertainty reduction (or information) in one variable by conditioning on another set of variables. In the last years, different Information-based methods have been shown to be flexible and powerful tools to analyze neuroimaging data, with a wide range of different methodologies, including formulations-based on bivariate vs multivariate representations, frequency vs time domains, etc. Apart from methodological issues, the information bit as a common unit represents a convenient way to open the road for comparison and integration between different measurements of neuroimaging data in three complementary contexts: Structural Connectivity, Dynamical (Functional and Effective) Connectivity, and Modelling of brain activity. Applications are ubiquitous, starting from resting state in healthy subjects to modulations of consciousness and other aspects of pathophysiology. Mutual Information-based methods have provided new insights about common-principles in brain organization, showing the existence of an active default network when the brain is at rest. It is not clear, however, how this default network is generated, the different modules are intra-interacting, or disappearing in the presence of stimulation. Some of these open-questions at the functional level might find their mechanisms on their structural correlates. A key question is the link between structure and function and the use of structural priors for the understanding of the functional connectivity measures. As effective connectivity is concerned, recently a common framework has been proposed for Transfer Entropy and Granger Causality, a well-established methodology originally based on autoregressive models. This framework can open the way to new theories and applications. This Research Topic brings together contributions from researchers from different backgrounds which are either developing new approaches, or applying existing methodologies to new data, and we hope it will set the basis for discussing the development and validation of new Information-based methodologies for the understanding of brain structure, function, and dynamics.
Download or read book Transfer Entropy written by Deniz Gençağa and published by MDPI. This book was released on 2018-08-24 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Transfer Entropy" that was published in Entropy
Book Synopsis From Matter to Life by : Sara Imari Walker
Download or read book From Matter to Life written by Sara Imari Walker and published by Cambridge University Press. This book was released on 2017-02-23 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances suggest that the concept of information might hold the key to unravelling the mystery of life's nature and origin. Fresh insights from a broad and authoritative range of articulate and respected experts focus on the transition from matter to life, and hence reconcile the deep conceptual schism between the way we describe physical and biological systems. A unique cross-disciplinary perspective, drawing on expertise from philosophy, biology, chemistry, physics, and cognitive and social sciences, provides a new way to look at the deepest questions of our existence. This book addresses the role of information in life, and how it can make a difference to what we know about the world. Students, researchers, and all those interested in what life is and how it began will gain insights into the nature of life and its origins that touch on nearly every domain of science.
Book Synopsis Complexity, Criticality and Computation (C³) by : Mikhail Prokopenko
Download or read book Complexity, Criticality and Computation (C³) written by Mikhail Prokopenko and published by MDPI. This book was released on 2018-04-06 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Complexity, Criticality and Computation (C³)" that was published in Entropy
Book Synopsis Information Decomposition of Target Effects from Multi-Source Interactions by : Joseph Lizier
Download or read book Information Decomposition of Target Effects from Multi-Source Interactions written by Joseph Lizier and published by MDPI. This book was released on 2018-09-04 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Information Decomposition of Target Effects from Multi-Source Interactions" that was published in Entropy
Book Synopsis Information Dynamics by : Harald Atmanspacher
Download or read book Information Dynamics written by Harald Atmanspacher and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of a NATO ASI held in Irsee/Kaufbeuren, Germany, June 15--26, 1990
Download or read book Brain Mapping written by and published by Academic Press. This book was released on 2015-02-14 with total page 2668 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain Mapping: A Comprehensive Reference, Three Volume Set offers foundational information for students and researchers across neuroscience. With over 300 articles and a media rich environment, this resource provides exhaustive coverage of the methods and systems involved in brain mapping, fully links the data to disease (presenting side by side maps of healthy and diseased brains for direct comparisons), and offers data sets and fully annotated color images. Each entry is built on a layered approach of the content – basic information for those new to the area and more detailed material for experienced readers. Edited and authored by the leading experts in the field, this work offers the most reputable, easily searchable content with cross referencing across articles, a one-stop reference for students, researchers and teaching faculty. Broad overview of neuroimaging concepts with applications across the neurosciences and biomedical research Fully annotated color images and videos for best comprehension of concepts Layered content for readers of different levels of expertise Easily searchable entries for quick access of reputable information Live reference links to ScienceDirect, Scopus and PubMed
Book Synopsis An Introduction to Transfer Entropy by : Terry Bossomaier
Download or read book An Introduction to Transfer Entropy written by Terry Bossomaier and published by Springer. This book was released on 2016-11-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors' work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance. The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering.
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 Artificial Life and Evolutionary Computation by : Marcello Pelillo
Download or read book Artificial Life and Evolutionary Computation written by Marcello Pelillo and published by Springer. This book was released on 2018-04-02 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers of the 12th Italian Workshop on Advances in Artificial Life, Evolutionary Computation, WIVACE 2017, held in Venice, Italy, in September 2017.The 23 full papers presented were thoroughly reviewed and selected from 33 submissions. They cover the following topics: physical-chemical phenomena; biological systems; economy and society; complexity; optimization.
Book Synopsis MEDICON’23 and CMBEBIH’23 by : Almir Badnjević
Download or read book MEDICON’23 and CMBEBIH’23 written by Almir Badnjević and published by Springer Nature. This book was released on 2024-01-03 with total page 923 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research and developments in the broad field of medical, biological engineering and computing. This is the first volume of the joint proceedings of the Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) and the International Conference on Medical and Biological Engineering (CMBEBIH), which were held together on September 14-16, 2023, in Sarajevo, Bosnia and Herzegovina. Contributions report on advances in biomedical signal processing and bioimaging, medical physics, and pharmaceutical engineering. Further, they cover applications of artificial intelligence and machine learning in healthcare.
Book Synopsis A Critique of Creativity and Complexity by : Don Ambrose
Download or read book A Critique of Creativity and Complexity written by Don Ambrose and published by Springer. This book was released on 2014-11-04 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an increasingly complex world the natural human inclination is to oversimplify issues and problems to make them seem more comprehensible and less threatening. This tendency usually generates forms of dogmatism that diminish our ability to think creatively and to develop worthy talents. Fortunately, complexity theory is giving us ways to make sense of intricate, evolving phenomena. This book represents a broad, interdisciplinary application of complexity theory to a wide variety of phenomena in general education, STEM education, learner diversity and special education, social-emotional development, organizational leadership, urban planning, and the history of philosophy. The contributors provide nuanced analyses of the structures and dynamics of complex adaptive systems in these academic and professional fields.
Book Synopsis Encyclopedia of Ecology by : Brian D. Fath
Download or read book Encyclopedia of Ecology written by Brian D. Fath and published by Elsevier. This book was released on 2018-08-23 with total page 2786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Ecology, Second Edition, Four Volume Set continues the acclaimed work of the previous edition published in 2008. It covers all scales of biological organization, from organisms, to populations, to communities and ecosystems. Laboratory, field, simulation modelling, and theoretical approaches are presented to show how living systems sustain structure and function in space and time. New areas of focus include micro- and macro scales, molecular and genetic ecology, and global ecology (e.g., climate change, earth transformations, ecosystem services, and the food-water-energy nexus) are included. In addition, new, international experts in ecology contribute on a variety of topics. Offers the most broad-ranging and comprehensive resource available in the field of ecology Provides foundational content and suggests further reading Incorporates the expertise of over 500 outstanding investigators in the field of ecology, including top young scientists with both research and teaching experience Includes multimedia resources, such as an Interactive Map Viewer and links to a CSDMS (Community Surface Dynamics Modeling System), an open-source platform for modelers to share and link models dealing with earth system processes
Book Synopsis Figures of Chance II by : Anne Duprat
Download or read book Figures of Chance II written by Anne Duprat and published by Taylor & Francis. This book was released on 2024-07-31 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Figures of Chance II: Chance in Theory and Practice proposes a multidisciplinary analysis of cultural phenomena related to notions of chance and contingency. Alongside its transhistorical companion volume (Figures of Chance I), it considers how the projective and predictive capacity of societies is shaped by representations and cultural models of a reality that is understood, by varying degrees, to be contingent, unpredictable, or chaotic. This volume reevaluates the role played by figurative representations of chance in contemporary discourses about chance and contingency. Written by seven interdisciplinary teams, and encompassing philosophy, literature, history of science, sociology, mathematics, cognitive science, information science, and art history, this text puts scientific conceptions of chance into dialogue with their contemporary literary and artistic representations. It thus brings out the central role played by art in the human perception of chance, and in our methods for projecting the future, in order to better understand contemporary human attitudes in the face of risk.
