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Author: Peter Sterling Publisher: MIT Press ISBN: 0262534681 Category : Science Languages : en Pages : 567
Book Description
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.
Author: Peter Sterling Publisher: MIT Press ISBN: 0262534681 Category : Science Languages : en Pages : 567
Book Description
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.
Author: Eric R. Kandel Publisher: McGraw-Hill Professional ISBN: 0838577016 Category : Medical Languages : en Pages : 1434
Book Description
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.
Author: Rodrigo Quian Quiroga Publisher: CRC Press ISBN: 1439853304 Category : Medical Languages : en Pages : 643
Book Description
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.
Author: Eric Kandel Publisher: McGraw Hill Professional ISBN: 0071810013 Category : Medical Languages : en Pages : 1760
Book Description
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.
Author: Eric R. Kandel Publisher: McGraw Hill Professional ISBN: 1259642240 Category : Medical Languages : en Pages : 1698
Book Description
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.
Author: Gordon M. Shepherd Publisher: Oxford University Press ISBN: 0190636114 Category : Medical Languages : en Pages : 625
Book Description
In order to focus on principles, each chapter in this work is brief, organized around 1-3 wiring diagrams of the key circuits, with several pages of text that distil the functional significance of each microcircuit
Author: Graupe Daniel Publisher: World Scientific ISBN: 9811201242 Category : Computers Languages : en Pages : 440
Book Description
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.
Author: Patricia Kitcher Publisher: Oxford University Press ISBN: 0190087269 Category : Philosophy Languages : en Pages : 409
Book Description
"No philosophical dictum is better known than Descartes's assertion about the intimate relation between thinking and existing. What remains unknown is how we are to understand the 'I' who thinks and exists. This book is about the ways that the concept of an 'I' or a 'self' has been developed and deployed at different times in the history of Western Philosophy. It also offers a striking contrast case, the 'interconnected' self, who appears in some expressions of African Philosophy. Appealing to philosophy to illuminate the concept of a 'self' may seem unnecessary. Anyone who can read this book is a self, so why can we not just tailor a concept to fit what we already know about ourselves? This objection has considerable force and provides a constraint on efforts to fashion a self-concept. Although there is a sense of 'self-knowledge' in which it is said to require a lifetime of serious effort to achieve (and which is the topic of another volume in this series), what is at issue here is simply knowing that one is a self"--
Author: Shuichi Shigeno Publisher: Springer ISBN: 4431564691 Category : Science Languages : en Pages : 438
Book Description
This book presents a new, detailed examination that explains how elegant brains have been shaped in evolution. It consists of 19 chapters written by academic professionals in neuroscience, opening with the origin of single-celled creatures and then introducing primordial types in invertebrates with the great abundance of the brains of vertebrates. Important topics are provided in a timely manner, because novel techniques emerged rapidly—as seen, for examples, in the next-generation sequencers and omics approaches. With the explosion of big data, neural-related genes and molecules is now on the radar. In fact, Europe’s big science and technology projects, a €1 billion plan called the Human Brain Project and the Blue Brain Project to understand mammalian brain networks, have been launched in recent years. Furthermore, with the rise of recently advanced artificial intelligence, there is great enthusiasm for understanding the evolution of neural networks. The views from brain evolution in nature provide an essential opportunity to generate ideas for novel neuron- and brain-inspired computation. The ambition behind this book is that it will stimulate young scientists who seek a deeper understanding in order to find the basic principles shaping brains that provided higher cognitive functions in the course of evolution.
Author: Peter Sterling
Author: Peter Sterling
Author: Eric R. Kandel
Author: Eric R. Kandel
Author: Rodrigo Quian Quiroga
Author: Eric Kandel
Author: Eric R. Kandel
Author: Gordon M. Shepherd
Author: Graupe Daniel
Author: Patricia Kitcher
Author: Shuichi Shigeno