Principles Of Neural Design
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Principles Of Neural Design
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Author : Peter Sterling
language : en
Publisher: MIT Press
Release Date : 2017-06-09
Principles Of Neural Design written by Peter Sterling and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-09 with Science categories.
Two distinguished neuroscientists distil general principles from more than a century of scientific study, “reverse engineering” the brain to understand its design. Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to explain the whys of neural design that allow the brain to compute so efficiently. Setting out to “reverse engineer” the brain—disassembling it to understand it—Sterling and Laughlin first consider why an animal should need a brain, tracing computational abilities from bacterium to protozoan to worm. They examine bigger brains and the advantages of “anticipatory regulation”; identify constraints on neural design and the need to “nanofy”; and demonstrate the routes to efficiency in an integrated molecular system, phototransduction. They show that the principles of neural design at finer scales and lower levels apply at larger scales and higher levels; describe neural wiring efficiency; and discuss learning as a principle of biological design that includes “save only what is needed.” Sterling and Laughlin avoid speculation about how the brain might work and endeavor to make sense of what is already known. Their distinctive contribution is to gather a coherent set of basic rules and exemplify them across spatial and functional scales.
Principles Of Neural Science
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Author : Eric R. Kandel
language : en
Publisher: McGraw-Hill/Appleton & Lange
Release Date : 1991
Principles Of Neural Science written by Eric R. Kandel and has been published by McGraw-Hill/Appleton & Lange this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Medical categories.
Now in resplendent color, the new edition continues to define the latest in the scientific understanding of the brain, the nervous system, and human behavior. Each chapter is thoroughly revised and includes the impact of molecular biology in the mechanisms underlying developmental processes and in the pathogenesis of disease. Important features to this edition include a new chapter - Genes and Behavior; a complete updating of development of the nervous system; the genetic basis of neurological and psychiatric disease; cognitive neuroscience of perception, planning, action, motivation and memory; ion channel mechanisms; and much more. Copyright © Libri GmbH. All rights reserved.
Principles Of Neural Science Fourth Edition
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Author : Eric R. Kandel
language : en
Publisher: McGraw-Hill Professional
Release Date : 2000-01-05
Principles Of Neural Science Fourth Edition written by Eric R. Kandel and has been published by McGraw-Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01-05 with Medical categories.
A Doody's Core Title for 2011! 5 STAR DOODY'S REVIEW! "This is a simply wonderful book that makes accessible in one place all the details of how the neuron and brain work. The writing is clear. The drawings are elegant and educational. The book is a feast for both the eye and mind. The richness, the beauty, and the complexity of neuroscience is all captured in this superb book."--Doody's Review Service Now in resplendent color, the new edition continues to define the latest in the scientific understanding of the brain, the nervous system, and human behavior. Each chapter is thoroughly revised and includes the impact of molecular biology in the mechanisms underlying developmental processes and in the pathogenesis of disease. Important features to this edition include a new chapter - Genes and Behavior; a complete updating of development of the nervous system; the genetic basis of neurological and psychiatric disease; cognitive neuroscience of perception, planning, action, motivation and memory; ion channel mechanisms; and much more.
Principles Of Neural Coding
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Author : Rodrigo Quian Quiroga
language : en
Publisher: CRC Press
Release Date : 2013-05-06
Principles Of Neural Coding written by Rodrigo Quian Quiroga and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-06 with Medical categories.
Understanding how populations of neurons encode information is the challenge faced by researchers in the field of neural coding. Focusing on the many mysteries and marvels of the mind has prompted a prominent team of experts in the field to put their heads together and fire up a book on the subject. Simply titled Principles of Neural Coding, this book covers the complexities of this discipline. It centers on some of the major developments in this area and presents a complete assessment of how neurons in the brain encode information. The book collaborators contribute various chapters that describe results in different systems (visual, auditory, somatosensory perception, etc.) and different species (monkeys, rats, humans, etc). Concentrating on the recording and analysis of the firing of single and multiple neurons, and the analysis and recording of other integrative measures of network activity and network states—such as local field potentials or current source densities—is the basis of the introductory chapters. Provides a comprehensive and interdisciplinary approach Describes topics of interest to a wide range of researchers The book then moves forward with the description of the principles of neural coding for different functions and in different species and concludes with theoretical and modeling works describing how information processing functions are implemented. The text not only contains the most important experimental findings, but gives an overview of the main methodological aspects for studying neural coding. In addition, the book describes alternative approaches based on simulations with neural networks and in silico modeling in this highly interdisciplinary topic. It can serve as an important reference to students and professionals.
Principles Of Neural Science Fifth Edition
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Author : Eric Kandel
language : en
Publisher: McGraw Hill Professional
Release Date : 2012-10-26
Principles Of Neural Science Fifth Edition written by Eric Kandel and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-26 with Medical categories.
The field's definitive work from a Nobel Prize-winning author 900 full-color illustrations Principles of Neural Science, 5e describes our current understanding of how the nerves, brain, and mind function. From molecules to anatomic structures and systems to cognitive function, this comprehensive reference covers all aspects of neuroscience. Widely regarded as the field’s cornerstone reference, the fifth edition is highlighted by more than 900 full-color illustrations. The fifth edition has been completely updated to reflect the tremendous amount of new research and development in neuroscience in the last decade. Lead author Eric Kandel was awarded the Nobel Prize in Physiology or Medicine in 2000.
Principles Of Neural Science Sixth Edition
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Author : Eric R. Kandel
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-04-05
Principles Of Neural Science Sixth Edition written by Eric R. Kandel and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-05 with Medical categories.
The gold standard of neuroscience texts―updated with hundreds of brand-new images and fully revised content in every chapter Doody's Core Titles for 2023! For more than 40 years, Principles of Neural Science has helped readers understand the link between the human brain and behavior. As the renowned text has shown, all behavior is an expression of neural activity and the future of both clinical neurology and psychiatry is dependent on the progress of neural science. Fully updated, this sixth edition of the landmark reference reflects the latest research, clinical perspectives, and advances in the field. It offers an unparalleled perspective on the the current state and future of neural science. This new edition features: Unmatched coverage of how the nerves, brain, and mind function NEW chapters on: - The Computational Bases of Neural Circuits that Mediate Behavior - Brain-Machine Interfaces - Decision-Making and Consciousness NEW section on the neuroscientific principles underlying the disorders of the nervous system Expanded coverage of the different forms of human memory Highly detailed chapters on stroke, Parkinson’s disease, and multiple sclerosis 2,200 images, including 300 new color illustrations, diagrams, radiology studies, and PET scans Principles of Neural Science, Sixth Edition benefits from a cohesive organization, beginning with an insightful overview of the interrelationships between the brain, nervous system, genes, and behavior. The text is divided into nine sections: Part I: Overall Perspective provides an overview of the broad themes of neural science, including the basic anatomical organization of the nervous system and the genetic bases of nervous system function and behavior. Part II: Cell and Molecular Biology of Cells of the Nervous System examines the basic properties of nerve cells, including the generation and conduction of propagated signaling. Part III: Synaptic Transmission focuses on the electrophysiological and molecular mechanism of synaptic transmission with chapters on neuronal excitability, neurotransmitters, and transmitter release. Part IV: Perception discusses the various aspects of sensory perception, including how information from the primary organs of sensation is transmitted to and processed by the central nervous system. Part V: Movement considers the neural mechanisms underlying movement and examines a new treatment that addresses how the basal ganglia regulate the selection of motor actions and instantiate reinforcement learning. Part VI: The Biology of Emotion, Motivation and Homeostasis examines the neural mechanisms by which subcortical areas mediate homeostatic control mechanisms, emotions, and motivation. Part VII: Development and the Emergence of Behavior looks at the nervous system from early embryonic differentiation to the formation and elimination of synapses. Part VIII: Learning, Memory, Language and Cognition expands on the previous section, examining the cellular mechanisms of implicit and explicit memory storage, as well as decision-making and consciousness. Part IX: explores the neural mechanisms underlying diseases and disorders of the nervous system, including autism spectrum disorder, epilepsy, schizophrenia, and anxiety.
Principles Of Neural Network Architecture Design
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Author : Jens Behrmann
language : en
Publisher:
Release Date : 2019
Principles Of Neural Network Architecture Design written by Jens Behrmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Principles Of Neural Science
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Author : Eric R. Kandel
language : en
Publisher:
Release Date : 1991
Principles Of Neural Science written by Eric R. Kandel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Anatomy categories.
Neural Network Design And The Complexity Of Learning
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Author : J. Stephen Judd
language : en
Publisher: MIT Press
Release Date : 1990
Neural Network Design And The Complexity Of Learning written by J. Stephen Judd and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.
Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier.Judd looks beyond the scope of any one particular learning rule, at a level above the details of neurons. There he finds new issues that arise when great numbers of neurons are employed and he offers fresh insights into design principles that could guide the construction of artificial and biological neural networks.The first part of the book describes the motivations and goals of the study and relates them to current scientific theory. It provides an overview of the major ideas, formulates the general learning problem with an eye to the computational complexity of the task, reviews current theory on learning, relates the book's model of learning to other models outside the connectionist paradigm, and sets out to examine scale-up issues in connectionist learning.Later chapters prove the intractability of the general case of memorizing in networks, elaborate on implications of this intractability and point out several corollaries applying to various special subcases. Judd refines the distinctive characteristics of the difficulties with families of shallow networks, addresses concerns about the ability of neural networks to generalize, and summarizes the results, implications, and possible extensions of the work. Neural Network Design and the Complexity of Learning is included in the Network Modeling and Connectionism series edited by Jeffrey Elman.
Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition
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Author : Graupe Daniel
language : en
Publisher: World Scientific
Release Date : 2019-03-15
Principles Of Artificial Neural Networks Basic Designs To Deep Learning 4th Edition written by Graupe Daniel and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Computers categories.
The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.