Download or read book Form Versus Function Theory and Models for Neuronal Substrates written by Mihai Alexandru Petrovici and published by Springer. This book was released on 2016-07-19 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis addresses one of the most fundamental challenges for modern science: how can the brain as a network of neurons process information, how can it create and store internal models of our world, and how can it infer conclusions from ambiguous data? The author addresses these questions with the rigorous language of mathematics and theoretical physics, an approach that requires a high degree of abstraction to transfer results of wet lab biology to formal models. The thesis starts with an in-depth description of the state-of-the-art in theoretical neuroscience, which it subsequently uses as a basis to develop several new and original ideas. Throughout the text, the author connects the form and function of neuronal networks. This is done in order to achieve functional performance of biological brains by transferring their form to synthetic electronics substrates, an approach referred to as neuromorphic computing. The obvious aspect that this transfer can never be perfect but necessarily leads to performance differences is substantiated and explored in detail. The author also introduces a novel interpretation of the firing activity of neurons. He proposes a probabilistic interpretation of this activity and shows by means of formal derivations that stochastic neurons can sample from internally stored probability distributions. This is corroborated by the author’s recent findings, which confirm that biological features like the high conductance state of networks enable this mechanism. The author goes on to show that neural sampling can be implemented on synthetic neuromorphic circuits, paving the way for future applications in machine learning and cognitive computing, for example as energy-efficient implementations of deep learning networks. The thesis offers an essential resource for newcomers to the field and an inspiration for scientists working in theoretical neuroscience and the future of computing.
Download or read book Form Vs Function written by and published by . This book was released on 2015 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neural Network Simulation of Strongly Correlated Quantum Systems written by Stefanie Czischek and published by Springer Nature. This book was released on 2020-08-27 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum systems with many degrees of freedom are inherently difficult to describe and simulate quantitatively. The space of possible states is, in general, exponentially large in the number of degrees of freedom such as the number of particles it contains. Standard digital high-performance computing is generally too weak to capture all the necessary details, such that alternative quantum simulation devices have been proposed as a solution. Artificial neural networks, with their high non-local connectivity between the neuron degrees of freedom, may soon gain importance in simulating static and dynamical behavior of quantum systems. Particularly promising candidates are neuromorphic realizations based on analog electronic circuits which are being developed to capture, e.g., the functioning of biologically relevant networks. In turn, such neuromorphic systems may be used to measure and control real quantum many-body systems online. This thesis lays an important foundation for the realization of quantum simulations by means of neuromorphic hardware, for using quantum physics as an input to classical neural nets and, in turn, for using network results to be fed back to quantum systems. The necessary foundations on both sides, quantum physics and artificial neural networks, are described, providing a valuable reference for researchers from these different communities who need to understand the foundations of both.
Download or read book Neuromorphic Engineering Editors Pick 2021 written by André van Schaik and published by Frontiers Media SA. This book was released on 2021-08-10 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Bayesian Brain written by Kenji Doya and published by MIT Press. This book was released on 2007 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.
Download or read book Neuronal Networks in Brain Function CNS Disorders and Therapeutics written by Carl Faingold and published by Academic Press. This book was released on 2013-12-26 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuronal Networks in Brain Function, CNS Disorders, and Therapeutics, edited by two leaders in the field, offers a current and complete review of what we know about neural networks. How the brain accomplishes many of its more complex tasks can only be understood via study of neuronal network control and network interactions. Large networks can undergo major functional changes, resulting in substantially different brain function and affecting everything from learning to the potential for epilepsy. With chapters authored by experts in each topic, this book advances the understanding of: - How the brain carries out important tasks via networks - How these networks interact in normal brain function - Major mechanisms that control network function - The interaction of the normal networks to produce more complex behaviors - How brain disorders can result from abnormal interactions - How therapy of disorders can be advanced through this network approach This book will benefit neuroscience researchers and graduate students with an interest in networks, as well as clinicians in neuroscience, pharmacology, and psychiatry dealing with neurobiological disorders. - Utilizes perspectives and tools from various neuroscience subdisciplines (cellular, systems, physiologic), making the volume broadly relevant - Chapters explore normal network function and control mechanisms, with an eye to improving therapies for brain disorders - Reflects predominant disciplinary shift from an anatomical to a functional perspective of the brain - Edited work with chapters authored by leaders in the field around the globe – the broadest, most expert coverage available
Download or read book Traumatic Brain Injury written by Mark J. Ashley and published by CRC Press. This book was released on 2003-12-29 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traumatic Brain Injury: Rehabilitative Treatment and Case Management, Second Edition provides therapists, case managers and physicians with information about the longer-term issues faced by this population. Originally titled Traumatic Brain Injury Rehabilitation, this new edition updates the clinical information and broadens the scope of the best-s
Download or read book A New Foundation for Representation in Cognitive and Brain Science written by Jaime Gómez-Ramirez and published by Springer Science & Business Media. This book was released on 2013-11-22 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the book is to advance in the understanding of brain function by defining a general framework for representation based on category theory. The idea is to bring this mathematical formalism into the domain of neural representation of physical spaces, setting the basis for a theory of mental representation, able to relate empirical findings, uniting them into a sound theoretical corpus. The innovative approach presented in the book provides a horizon of interdisciplinary collaboration that aims to set up a common agenda that synthesizes mathematical formalization and empirical procedures in a systemic way. Category theory has been successfully applied to qualitative analysis, mainly in theoretical computer science to deal with programming language semantics. Nevertheless, the potential of category theoretic tools for quantitative analysis of networks has not been tackled so far. Statistical methods to investigate graph structure typically rely on network parameters. Category theory can be seen as an abstraction of graph theory. Thus, new categorical properties can be added into network analysis and graph theoretic constructs can be accordingly extended in more fundamental basis. By generalizing networks using category theory we can address questions and elaborate answers in a more fundamental way without waiving graph theoretic tools. The vital issue is to establish a new framework for quantitative analysis of networks using the theory of categories, in which computational neuroscientists and network theorists may tackle in more efficient ways the dynamics of brain cognitive networks. The intended audience of the book is researchers who wish to explore the validity of mathematical principles in the understanding of cognitive systems. All the actors in cognitive science: philosophers, engineers, neurobiologists, cognitive psychologists, computer scientists etc. are akin to discover along its pages new unforeseen connections through the development of concepts and formal theories described in the book. Practitioners of both pure and applied mathematics e.g., network theorists, will be delighted with the mapping of abstract mathematical concepts in the terra incognita of cognition.
Download or read book Neurocomputing written by James A. Anderson and published by MIT Press. This book was released on 1993-08-26 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: In bringing together seminal articles on the foundations of research, the first volume of Neurocomputing has become an established guide to the background of concepts employed in this burgeoning field. Neurocomputing 2 collects forty-one articles covering network architecture, neurobiological computation, statistics and pattern classification, and problems and applications that suggest important directions for the evolution of neurocomputing.James A. Anderson is Professor in the Department of Cognitive and Linguistic Sciences at Brown University. Andras Pellionisz is a Research Associate Professor in the Department of Physiology and Biophysics at New York Medical Center and a Senior National Research Council Associate to NASA. Edward Rosenfeld is editor and publisher of the newsletters Intelligence and Medical Intelligence.
Download or read book Systems Biology of Parkinson s Disease written by Peter Wellstead and published by Springer Science & Business Media. This book was released on 2012-05-08 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Systems Biology of Parkinson’s Disease will be underpinned by new measurement techniques. This is particularly true of the pathology of Parkinson's Disease, where recent developments in brain imaging have offered new insights into the morphology of dopaminergic neurons that have profound implications for the special vulnerability and role of this class of neurons.
Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press. This book was released on 2003 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).
Download or read book To Flourish or Destruct written by Christian Smith and published by University of Chicago Press. This book was released on 2015-03-23 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of what motivates humans and the activity that gives rise to human social life and social structures. In his 2010 book What Is a Person?, Christian Smith argued that sociology had for too long neglected this fundamental question. Prevailing social theories, he wrote, do not adequately “capture our deep subjective experience as persons, crucial dimensions of the richness of our own lived lives, what thinkers in previous ages might have called our ‘souls’ or ‘hearts.’” Building on Smith’s previous work, To Flourish or Destruct examines the motivations intrinsic to this subjective experience: Why do people do what they do? How can we explain the activity that gives rise to all human social life and social structures? Smith argues that our actions stem from a motivation to realize what he calls natural human goods: ends that are, by nature, constitutionally good for all human beings. He goes on to explore the ways we can and do fail to realize these ends—a failure that can result in varying gradations of evil. Rooted in critical realism and informed by work in philosophy, psychology, and other fields, Smith’s ambitious book situates the idea of personhood at the center of our attempts to understand how we might shape good human lives and societies. Praise for To Flourish or Destruct “This major work in sociology theory should be read by social scientists in all disciplines. Highly recommended.” —Choice “To Flourish or Destruct poses a powerful and important challenge to the entire discipline of sociology. Smith is becoming the anchor of a humanist renewal in sociology and although he is not alone in this movement, what makes To Flourish or Destruct different is a coherent, new, oppositional perspective that draws on critical realism to affirm both human personhood and the ever-present moral element in human affairs. Smith’s Personalism could become the banner around which a very different kind of sociology develops, one that respects the centered consciousness that is human personhood.” —Douglas Porpora, Drexel University “This book represents a major advance in sociology and more specifically within critical realism, which is gradually emerging as a full-fledged alternative in the social sciences. I am fundamentally convinced by this book.” —George Steinmetz, University of Michigan
Download or read book Computational Neuroscience Theoretical Insights into Brain Function written by Paul Cisek and published by Elsevier. This book was released on 2007-11-14 with total page 571 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function.• Includes contributions by some of the most influential people in the field of computational neuroscience• Demonstrates how computational approaches are being used today to interpret experimental data• Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning
Download or read book Self Organization Emerging Properties and Learning written by Agnessa Babloyantz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the workshop held in March 1990 at Austin, Texas on Self-Organization, Emerging Properties and Learning. The workshop was co-sponsored by NATO Scientific Affairs Division, Solvay Institutes of Physics and Chemistry, the University of Texas at Austin and IC2 Institute at Austin. It gathered representatives from a large spectrum of scientific endeavour. The subject matter of self-organization extends over several fields such as hydrodynamics, chemistry, biology, neural networks and social sciences. Several key concepts are common to all these different disciplines. In general the self-organization processes in these fields are described in the framework of the nonlinear dynamics, which also governs the mechanisms underlying the learning processes. Because of this common language, it is expected that any progress in one area could benefit other fields, thus a beneficial cross fertilization may result. In last two decades many workshops and conferences had been organized in various specific fields dealing with self-organization and emerging properties of systems. The aim of the workshop in Austin was to bring together researchers from seemingly unrelated areas and interested in self-organization, emerg{ng properties and learning capabilities of interconnected multi-unit systems. The hope was to initiate interesting exchange and lively discussions. The expectations of the organiziers are materialized in this unusual collection of papers, which brings together in a single volume representative research from many related fields. Thus this volume gives to the reader a wider perspective over the generality and ramifications of the key concepts of self organization.
Download or read book The Oxford Handbook of Cultural Neuroscience written by Joan Y. Chiao and published by Oxford University Press. This book was released on 2016 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook examines disparities in public health by highlighting recent theoretical and methodological advances in cultural neuroscience. It traces the interactions of cultural, biological, and environmental factors that create adverse physical and mental health conditions among populations, and investigates how the policies of cultural and governmental institutions influence such outcomes. In addition to providing an overview of the current research, chapters demonstrate how a cultural neuroscience approach to the study of the mind, brain, and behavior can help stabilize the quality of health of societies at large. The volume will appeal especially to graduate students and professional scholars working in psychology and population genetics. The Oxford Handbook of Cultural Neuroscience represents the first collection of scholarly contributions from the International Cultural Neuroscience Consortium (ICNC), an interdisciplinary group of scholars from epidemiology, anthropology, psychology, neuroscience, genetics, and psychiatry dedicated to advancing an understanding of culture and health using theory and methods from cultural neuroscience. The Handbook is intended to introduce future generations of scholars to foundations in cultural neuroscience, and to equip them to address the grand challenges in global mental health in the twenty-first century.
Download or read book The Orienting Reflex in Humans written by H. D. Kimmel and published by Routledge. This book was released on 2021-09-30 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1979, the world’s leading researchers contributed chapters describing their work on the orienting reflex in humans. The contributions, at the time current and comprehensive, in a sense that each facet of contemporary research was represented, address the orienting reflex, now recognized as a fundamental component of human learning and cognitive function. The authors contributing to this volume emphasize both theoretical and methodological issues, as well as present more empirical research. Here is a volume that spans all current work on the orienting reflex in humans, both basic and applied, from the laboratory as well as clinical data, and which would be of immense interest to psychologists, psychophysiologists, psychiatrists, physiologists, and all others interested in this fascinating topic.
Download or read book Habituation written by Thomas J. Tighe and published by Routledge. This book was released on 2016-07-15 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 1976, this volume is based on a conference held in 1974. The purpose of the conference was to foster communication between those researchers studying habituation or closely related processes in children and those studying habituation at the level of neurophysiology and animal behaviour. Within each of these groups there was burgeoning interest in habituation, yet there had been little, if any, interaction between them. Overall, this volume provides a medium for cross-fertilization between animal-neurophysiological and developmental research on habituation, highlighting some of the current empirical and theoretical concerns within each area at the time. While other volumes may have provided more comprehensive and detailed reviews of aspects of habituation, the juxtaposition of developmental and animal neuro-physiological research provided in this text was unique in the literature at the time.
