Principles Of Neural Design

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Principles of Neural Design

Author : Peter Sterling,Simon Laughlin
Publisher : MIT Press
Page : 567 pages
File Size : 52,9 Mb
Release : 2017-06-09
Category : Science
ISBN : 9780262534680

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Principles of Neural Design by Peter Sterling,Simon Laughlin Pdf

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

Author : Eric R. Kandel,James H. Schwartz,Thomas M. Jessell
Publisher : McGraw-Hill/Appleton & Lange
Page : 1204 pages
File Size : 50,8 Mb
Release : 1991
Category : Medical
ISBN : STANFORD:36105023485571

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Principles of Neural Science by Eric R. Kandel,James H. Schwartz,Thomas M. Jessell Pdf

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 Coding

Author : Rodrigo Quian Quiroga,Stefano Panzeri
Publisher : CRC Press
Page : 643 pages
File Size : 41,5 Mb
Release : 2013-05-06
Category : Medical
ISBN : 9781439853306

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Principles of Neural Coding by Rodrigo Quian Quiroga,Stefano Panzeri Pdf

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.

Neural Network Design and the Complexity of Learning

Author : J. Stephen Judd
Publisher : MIT Press
Page : 188 pages
File Size : 46,5 Mb
Release : 1990
Category : Computers
ISBN : 0262100452

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Neural Network Design and the Complexity of Learning by J. Stephen Judd Pdf

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 Neural Science

Author : Eric R. Kandel,James H. Schwartz,Thomas M. Jessell
Publisher : Unknown
Page : 1135 pages
File Size : 51,7 Mb
Release : 1991
Category : Anatomy
ISBN : 0838580688

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Principles of Neural Science by Eric R. Kandel,James H. Schwartz,Thomas M. Jessell Pdf

Principles of Neural Science, Fourth Edition

Author : Eric R. Kandel,James Harris Schwartz,Thomas Jessell
Publisher : McGraw-Hill Professional
Page : 1434 pages
File Size : 44,8 Mb
Release : 2000-01-05
Category : Medical
ISBN : 9780838577011

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Principles of Neural Science, Fourth Edition by Eric R. Kandel,James Harris Schwartz,Thomas Jessell Pdf

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 Science, Fifth Edition

Author : Eric R. Kandel
Publisher : McGraw Hill Professional
Page : 1761 pages
File Size : 45,5 Mb
Release : 2013
Category : Medical
ISBN : 9780071390118

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Principles of Neural Science, Fifth Edition by Eric R. Kandel Pdf

Principles of Neural Science, 5e describes our current understanding of how the nerves, brain, and mind function. From molecules and cells to anatomic structures and systems to senses and cognitive functions, this comprehensive reference covers every aspect of neuroscience.

Principles of Neural Information Theory

Author : James V Stone
Publisher : Unknown
Page : 214 pages
File Size : 47,6 Mb
Release : 2018-05-15
Category : Computers
ISBN : 0993367925

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Principles of Neural Information Theory by James V Stone Pdf

In this richly illustrated book, it is shown how Shannon's mathematical theory of information defines absolute limits on neural efficiency; limits which ultimately determine the neuroanatomical microstructure of the eye and brain. Written in an informal style this is an ideal introduction to cutting-edge research in neural information theory.

What Is Health?

Author : Peter Sterling
Publisher : MIT Press
Page : 259 pages
File Size : 40,5 Mb
Release : 2020-02-25
Category : Science
ISBN : 9780262043304

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What Is Health? by Peter Sterling Pdf

An argument that health is optimal responsiveness and is often best treated at the system level. Medical education centers on the venerable “no-fault” concept of homeostasis, whereby local mechanisms impose constancy by correcting errors, and the brain serves mainly for emergencies. Yet, it turns out that most parameters are not constant; moreover, despite the importance of local mechanisms, the brain is definitely in charge. In this book, the eminent neuroscientist Peter Sterling describes a broader concept: allostasis (coined by Sterling and Joseph Eyer in the 1980s), whereby the brain anticipates needs and efficiently mobilizes supplies to prevent errors. Allostasis evolved early, Sterling explains, to optimize energy efficiency, relying heavily on brain circuits that deliver a brief reward for each positive surprise. Modern life so reduces the opportunities for surprise that we are driven to seek it in consumption: bigger burgers, more opioids, and innumerable activities that involve higher carbon emissions. The consequences include addiction, obesity, type 2 diabetes, and climate change. Sterling concludes that solutions must go beyond the merely technical to restore possibilities for daily small rewards and revivify the capacities for egalitarianism that were hard-wired into our nature. Sterling explains that allostasis offers what is not found in any medical textbook: principled definitions of health and disease: health as the capacity for adaptive variation and disease as shrinkage of that capacity. Sterling argues that since health is optimal responsiveness, many significant conditions are best treated at the system level.

Computational Explorations in Cognitive Neuroscience

Author : Randall C. O'Reilly,Yuko Munakata
Publisher : MIT Press
Page : 540 pages
File Size : 40,9 Mb
Release : 2000-08-28
Category : Medical
ISBN : 0262650541

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Computational Explorations in Cognitive Neuroscience by Randall C. O'Reilly,Yuko Munakata Pdf

This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the computational cognitive neuroscience. The goal of computational cognitive neuroscience is to understand how the brain embodies the mind by using biologically based computational models comprising networks of neuronlike units. This text, based on a course taught by Randall O'Reilly and Yuko Munakata over the past several years, provides an in-depth introduction to the main ideas in the field. The neural units in the simulations use equations based directly on the ion channels that govern the behavior of real neurons, and the neural networks incorporate anatomical and physiological properties of the neocortex. Thus the text provides the student with knowledge of the basic biology of the brain as well as the computational skills needed to simulate large-scale cognitive phenomena. The text consists of two parts. The first part covers basic neural computation mechanisms: individual neurons, neural networks, and learning mechanisms. The second part covers large-scale brain area organization and cognitive phenomena: perception and attention, memory, language, and higher-level cognition. The second part is relatively self-contained and can be used separately for mechanistically oriented cognitive neuroscience courses. Integrated throughout the text are more than forty different simulation models, many of them full-scale research-grade models, with friendly interfaces and accompanying exercises. The simulation software (PDP++, available for all major platforms) and simulations can be downloaded free of charge from the Web. Exercise solutions are available, and the text includes full information on the software.

Principles of Neural Science, Sixth Edition

Author : Eric R. Kandel,John D. Koester,Sarah H. Mack,Steven A. Siegelbaum
Publisher : McGraw Hill Professional
Page : 1698 pages
File Size : 55,5 Mb
Release : 2021-04-05
Category : Medical
ISBN : 9781259642241

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Principles of Neural Science, Sixth Edition by Eric R. Kandel,John D. Koester,Sarah H. Mack,Steven A. Siegelbaum Pdf

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.

Neural Network Principles

Author : Robert L. Harvey
Publisher : Unknown
Page : 216 pages
File Size : 42,8 Mb
Release : 1994
Category : Models, Neurological
ISBN : UOM:39015032527346

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Neural Network Principles by Robert L. Harvey Pdf

Using models of biological systems as springboards to a broad range of applications, this volume presents the basic ideas of neural networks in mathematical form. Comprehensive in scope, Neural Network Principles outlines the structure of the human brain, explains the physics of neurons, derives the standard neuron state equations, and presents the consequences of these mathematical models. Author Robert L. Harvey derives a set of simple networks that can filter, recall, switch, amplify, and recognize input signals that are all patterns of neuron activation. The author also discusses properties of general interconnected neuron groups, including the well-known Hopfield and perception neural networks using a unified approach along with suggestions of new design procedures for both. He then applies the theory to synthesize artificial neural networks for specialized tasks. In addition, Neural Network Principles outlines the design of machine vision systems, explores motor control of the human brain and presents two examples of artificial hand-eye systems, demonstrates how to solve large systems of interconnected neurons, and considers control and modulation in the human brain-mind with insights for a new understanding of many mental illnesses.

An Introduction to the Event-Related Potential Technique, second edition

Author : Steven J. Luck
Publisher : MIT Press
Page : 417 pages
File Size : 47,7 Mb
Release : 2014-05-30
Category : Science
ISBN : 9780262525855

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An Introduction to the Event-Related Potential Technique, second edition by Steven J. Luck Pdf

An essential guide to designing, conducting, and analyzing event-related potential (ERP) experiments, completely updated for this edition. The event-related potential (ERP) technique, in which neural responses to specific events are extracted from the EEG, provides a powerful noninvasive tool for exploring the human brain. This volume describes practical methods for ERP research along with the underlying theoretical rationale. It offers researchers and students an essential guide to designing, conducting, and analyzing ERP experiments. This second edition has been completely updated, with additional material, new chapters, and more accessible explanations. Freely available supplementary material, including several online-only chapters, offer expanded or advanced treatment of selected topics. The first half of the book presents essential background information, describing the origins of ERPs, the nature of ERP components, and the design of ERP experiments. The second half of the book offers a detailed treatment of the main steps involved in conducting ERP experiments, covering such topics as recording the EEG, filtering the EEG and ERP waveforms, and quantifying amplitudes and latencies. Throughout, the emphasis is on rigorous experimental design and relatively simple analyses. New material in the second edition includes entire chapters devoted to components, artifacts, measuring amplitudes and latencies, and statistical analysis; updated coverage of recording technologies; concrete examples of experimental design; and many more figures. Online chapters cover such topics as overlap, localization, writing and reviewing ERP papers, and setting up and running an ERP lab.

Principles of Neurobiology

Author : Liqun Luo
Publisher : Garland Science
Page : 696 pages
File Size : 47,9 Mb
Release : 2015-07-14
Category : Science
ISBN : 9781317553830

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Principles of Neurobiology by Liqun Luo Pdf

Principles of Neurobiology presents the major concepts of neuroscience with an emphasis on how we know what we know. The text is organized around a series of key experiments to illustrate how scientific progress is made and helps upper-level undergraduate and graduate students discover the relevant primary literature. Written by a single author in

The Principles of Deep Learning Theory

Author : Daniel A. Roberts,Sho Yaida,Boris Hanin
Publisher : Cambridge University Press
Page : 473 pages
File Size : 47,5 Mb
Release : 2022-05-26
Category : Computers
ISBN : 9781316519332

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The Principles of Deep Learning Theory by Daniel A. Roberts,Sho Yaida,Boris Hanin Pdf

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.