Computing The Brain

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Author: Michael A. Arbib
Publisher: Academic Press
ISBN: 9780120597819
Size: 34.84 MB
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Computing The Brain by Michael A. Arbib


Original Title: Computing The Brain

Computing the Brain provides readers with an integrated view of current informatics research related to the field of neuroscience. This book clearly defines the new work being done in neuroinformatics and offers information on resources available on the Web to researchers using this new technology. It contains chapters that should appeal to a multidisciplinary audience with introductory chapters for the nonexpert reader. Neuroscientists will find this book an excellent introduction to informatics technologies and the use of these technologies in their research. Computer scientists will be interested in exploring how these technologies might benefit the neuroscience community. Key Features * An integrated view of neuroinformatics for a multidisciplinary audience * Explores and explains new work being done in neuroinformatics * Cross-disciplinary with chapters for computer scientists and neuroscientists * An excellent tool for graduate students coming to neuroinformatics research from diverse disciplines and for neuroscientists seeking a comprehensive introduction to the subject * Discusses, in-depth, the structuring of masses of data by a variety of computational models * Clearly defines computational neuroscience - the use of computational techniques and metaphors to investigate relations between neural structure and function * Offers a guide to resources and algorithms that can be found on the Web * Written by internationally renowned experts in the field

The Computer And The Brain

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Author: John von Neumann
Publisher: Yale University Press
ISBN: 0300181116
Size: 70.75 MB
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The Computer And The Brain by John von Neumann


Original Title: The Computer And The Brain

First published in 1958, John von Neumann's classic work "The Computer and the Brain" explored the analogies between computing machines and the living human brain. Von Neumann showed that the brain operates both digitally and analogically, but also has its own unique statistical language. And more than fifty years after its inception the "von Neumann architecture"--An organizational framework for computer design - still lies at the heart of today's machines. In his foreword to this new edition, Ray Kurzweil, a futurist famous for his own musings on the relationship between technology and consciousness, places von Neumann's work in a historical context and shows how it remains relevant today.

From Computer To Brain

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Author: William W. Lytton
Publisher: Springer Science & Business Media
ISBN: 9780387955261
Size: 55.64 MB
Format: PDF
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From Computer To Brain by William W. Lytton


Original Title: From Computer To Brain

Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available and by providing basic explanations without the unnecessary details. The book is ideal for students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system. A companion website includes extensive interactive resources.

Brain Mind Machinery

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Author: Gee Wah Ng
Publisher: World Scientific
ISBN: 9812790268
Size: 29.56 MB
Format: PDF, Kindle
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Brain Mind Machinery by Gee Wah Ng


Original Title: Brain Mind Machinery

Brain-Mind Machinery provides a walkthrough to the world of brain-inspired computing and mind-related questions. Bringing together diverse viewpoints and expertise from multidisciplinary communities, the book explores the human quest to build a thinking machine with human-like capabilities. Readers will acquire a first-hand understanding of the brain and mind mechanisms and machineries, as well as how much we have progressed in and how far we are from building a truly general intelligent system like the human brain.

Complex Computing Networks

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Author: Izzet Cem Göknar
Publisher: Springer Science & Business Media
ISBN: 3540306366
Size: 20.82 MB
Format: PDF
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Complex Computing Networks by Izzet Cem Göknar


Original Title: Complex Computing Networks

This book contains the ceremonials and the proceedings pertaining to the Int- national Symposium CCN2005 on “Complex Computing-Networks: A Link between Brain-like and Wave-Oriented Electrodynamics Algorithms,” convened at Do ?u ? University of Istanbul, Turkey, on 13–14 June 2005, in connection with the bestowal of the honorary doctorate degrees on Professors Leopold B. Felsen and Leon O. Chua, for their extraordinary achievements in electromagnetics, and n- linear systems, respectively. The symposium was co-organized by Cem Göknar and Levent Sevgi, in consultation with Leopold B. Felsen and Leon O. Chua. Istanbul is a city with wonderful natural and historical surroundings, a city not only interconnecting Asia and Europe but also Eastern and Western cultures. Therefore, CCN2005 was a memorable event not only in the lifetime of Drs. Felsen, Chua, and their families, but also for all the other participants who were there to congratulate the recipients and participate in the symposium.

Memory And The Computational Brain

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Author: C. R. Gallistel
Publisher: John Wiley & Sons
ISBN: 1444359762
Size: 41.56 MB
Format: PDF, ePub
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Memory And The Computational Brain by C. R. Gallistel


Original Title: Memory And The Computational Brain

Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades. A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, suggesting new perspectives on learning mechanisms in the brain Proposes that the field of neuroscience can and should benefit from the recent advances of cognitive science and the development of information theory Suggests that the architecture of the brain is structured precisely for learning and for memory, and integrates the concept of an addressable read/write memory mechanism into the foundations of neuroscience Based on lectures in the prestigious Blackwell-Maryland Lectures in Language and Cognition, and now significantly reworked and expanded to make it ideal for students and faculty

Brain Inspired Computing

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Author: Lucio Grandinetti
Publisher: Springer
ISBN: 3319120840
Size: 58.96 MB
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Brain Inspired Computing by Lucio Grandinetti


Original Title: Brain Inspired Computing

This book constitutes the thoroughly refereed conference proceedings of the International Workshop on Brain-inspired Computing, BrainComp 2013, held in Cetraro, Italy, in July 2013. The 16 revised full papers were carefully reviewed and selected from numerous submissions and cover topics such as brain structure and function as a neuroscience perspective, computational models and brain-inspired computing, HPC and visualization for human brain simulations.

Computing Brain Activity Maps From Fmri Time Series Images

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Author: Gordon E. Sarty
Publisher: Cambridge University Press
ISBN: 9780521868266
Size: 26.90 MB
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Computing Brain Activity Maps From Fmri Time Series Images by Gordon E. Sarty


Original Title: Computing Brain Activity Maps From Fmri Time Series Images

A review of the methods used for analyzing fMRI data, with mathematical outlines of how each method works, and the software available for developing the data. Aimed at graduate students and research investigators.

The Brain Fuzzy Arithmetic To Quantum Computing

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Author: Armando Freitas da Rocha
Publisher: Springer Science & Business Media
ISBN: 3540218580
Size: 27.64 MB
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The Brain Fuzzy Arithmetic To Quantum Computing by Armando Freitas da Rocha


Original Title: The Brain Fuzzy Arithmetic To Quantum Computing

"The Brain- From Fuzzy Arithmetic to Quantum Computing" presents an original and astounding new understanding of the brain by taking into account novel achievements in Fuzziness and Quantum Information Theory. Bringing together Neuroscience, Soft Computing, Quantum Theory, and recent developments in mathematics the actual knowledge about the brain functioning is formalized into a coherent theoretical framework. This monograph develops new and powerful neural models providing formal descriptions of biochemical transactions in the brain to guide neuroscience experiments and to better interpret their results. This book demonstrates how the physiology of the neuron can be understood based on the fundamentals of fuzzy formal languages and introduces the basics of quantum computation and quantum information to the brain. It discusses how molecular transactions at the cellular level implement such concepts, shows how certain neural structures, like the dendritic spine, are specialized to function as quantum computing devices and demonstrates how the brain can be viewed as a quantum processing intelligent system.

Brain Computer Interfaces

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Author: Desney S. Tan
Publisher: Springer Science & Business Media
ISBN: 9781849962728
Size: 40.81 MB
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Brain Computer Interfaces by Desney S. Tan


Original Title: Brain Computer Interfaces

For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recent advances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought. Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the state-of-the-art, but also ideally to engage in novel research. For expert Brain-Computer Interface researchers, the book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device. It challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems. Most importantly, the book will connect multiple communities allowing research to leverage their work and expertise and blaze into the future.

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