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Author: Mihai Alexandru Petrovici
Publisher: Springer
ISBN: 3319395521
Category : Science
Languages : en
Pages : 394
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Book Description
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.
Author: Mihai Alexandru Petrovici
Publisher: Springer
ISBN: 3319395521
Category : Science
Languages : en
Pages : 394
Get Book Here
Book Description
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.
Author:
Publisher:
ISBN:
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Languages : en
Pages : 389
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Book Description
Author: Carl Faingold
Publisher: Academic Press
ISBN: 0124158641
Category : Medical
Languages : en
Pages : 537
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Book Description
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
Author: Stefanie Czischek
Publisher: Springer Nature
ISBN: 3030527158
Category : Science
Languages : en
Pages : 212
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Book Description
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.
Author: André van Schaik
Publisher: Frontiers Media SA
ISBN: 2889711617
Category : Science
Languages : en
Pages : 177
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Book Description
Author: Kenji Doya
Publisher: MIT Press
ISBN: 026204238X
Category : Bayesian statistical decision theory
Languages : en
Pages : 341
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Book Description
Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.
Author: Thomas J. Tighe
Publisher: Routledge
ISBN: 1317265882
Category : Psychology
Languages : en
Pages : 434
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Book Description
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.
Author: Joan Y. Chiao
Publisher: Oxford University Press
ISBN: 0199357374
Category : Medical
Languages : en
Pages : 429
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Book Description
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.
Author: Lawrence Dachowski
Publisher: Psychology Press
ISBN: 1134748868
Category : Psychology
Languages : en
Pages : 453
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Book Description
This book, based on the Flowerree Mardi Gras Symposium at Tulane University, juxtaposes contemporary research and theory from several areas of animal learning -- learning theory, comparative cognition, animal models of human behavior, and functional neurology. Investigators pursuing these different routes often work in isolation of progress being made in, what should be, related fields. This book will acquaint students and researchers with a variety of topics, ordinarily treated separately, in a way that will stimulate integrative thinking. Cognitive interpretations of animal learning are included, as well as recent developments in conditioning theory, physiological bases of learning, animal models of human behavior problems, and psychopharmacology.
Author: Karl H. Pribram
Publisher: Psychology Press
ISBN: 1134997019
Category : Psychology
Languages : en
Pages : 617
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Book Description
A year before his death, B.F. Skinner wrote that "There are two unavoidable gaps in any behavioral account: one between the stimulating action of the environment and the response of the organism and one between consequences and the resulting change in behavior. Only brain science can fill those gaps. In doing so, it completes the account; it does not give a different account of the same thing." This declaration ended the epoch of radical behaviorism to the extent that it was based on the doctrine of the "empty organism," the doctrine that a behavioral science must be constructed purely on its own level of investigation. However, Skinner was not completely correct in his assessment. Brain science on its own can no more fill the gaps than can single level behavioral science. It is the relation between data and formulations developed in the brain and the behavioral sciences that is needed. This volume is the result of The Fourth Appalachian Conference on Behavioral Neurodynamics, the first three of which were aimed at filling Skinner's first gap. Taking the series in a new direction, the aim of the fourth and subsequent conferences is to explore the second of the gaps in the behavioral account noted by Skinner. The aim of this conference was to explore the aphorism: The motivation for learning is self organization. In keeping with this aim and in the spirit of previous events, this conference's mission was to acquaint scientists working in one discipline with the work going on in other disciplines that is relevant to both. As a result, it brought together those who are making advances on the behavioral level -- mainly working in the tradition of operant conditioning -- and those working with brains -- mainly amygdala, hippocampus, and far frontal cortex.
