Search Results for "principles-of-neural-design-mit-press"

Principles of Neural Design

Principles of Neural Design

  • Author: Peter Sterling,Simon Laughlin
  • Publisher: MIT Press
  • ISBN: 0262028700
  • Category: Science
  • Page: 568
  • View: 9190
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Two distinguished neuroscientists distil general principles from more than a century of scientific study, "reverse engineering" the brain to understand its design.

Artificial Neural Networks as Models of Neural Information Processing

Artificial Neural Networks as Models of Neural Information Processing

  • Author: Marcel van Gerven,Sander Bohte
  • Publisher: Frontiers Media SA
  • ISBN: 2889454010
  • Category:
  • Page: N.A
  • View: 2125
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Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.

Grundlagen zur Neuroinformatik und Neurobiologie

Grundlagen zur Neuroinformatik und Neurobiologie

The Computational Brain in deutscher Sprache

  • Author: Patricia S. Churchland,Terrence J. Sejnowski
  • Publisher: Springer-Verlag
  • ISBN: 3322868214
  • Category: Technology & Engineering
  • Page: 702
  • View: 7786
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The Computational Brain, das außergewöhnliche Buch über vergleichende Forschung in den Bereichen von menschlichem Gehirn und neuesten Möglichkeiten der Computertechnologie, liegt hiermit erstmals in deutscher Sprache vor. Geschrieben von einem führenden Forscherteam in den USA, ist es eine Fundgrube für alle, die wissen wollen, was der Stand der Wissenschaft auf diesem Gebiet ist. Die Autoren führen die Bereiche der Neuroinformatik und Neurobiologie mit gut ausgesuchten Beispielen und der gebotenen Hintergrundinformation gekonnt zusammen. Das Buch wird somit nicht nur dem Fachwissenschaftler sondern auch dem interdisziplinären Interesse des Informatikers und des Biologen auf eine hervorragende Weise gerecht. Übersetzt wurde das Buch von Prof. Dr. Steffen Hölldobler und Dipl.-Biol. Claudia Hölldobler, einem Informatiker und einer Biologin. Rezension in Spektrum der Wissenschaft nr. 10, S. 122 f. im Oktober 1997 (...) Die 1992 erschienene amerikanische Originalausgabe des vorliegenden Werkes ist so erfolgreich, daß man bereits von einem Klassiker reden kann. (...) (...) ....ist das Buch sehr zu empfehlen. In Verbindung von Neurobiologie und Neuroinformatik konkurrenzlos, vermittelt es einiges von der Faszination theoretischer Hirnforschung, die auch in Deutschland zunehmend mehr Wissenschaftler in ihren Bann schlägt. Rezension erschienen in: Computer Spektrum 3/1997, S. 2 (...)Das Buch wird somit nicht nur dem Fachwissenschaftler, sondern auch den interdisziplinären Interesse des Informatikers und des Biologen auf eine hervorragende Weise gerecht(...)

The Design of Everyday Things

The Design of Everyday Things

Psychologie und Design der alltäglichen Dinge

  • Author: Norman Don
  • Publisher: Vahlen
  • ISBN: 3800648105
  • Category: Business & Economics
  • Page: 320
  • View: 4858
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Apple, Audi, Braun oder Samsung machen es vor: Gutes Design ist heute eine kritische Voraussetzung für erfolgreiche Produkte. Dieser Klassiker beschreibt die fundamentalen Prinzipien, um Dinge des täglichen Gebrauchs umzuwandeln in unterhaltsame und zufriedenstellende Produkte. Don Norman fordert ein Zusammenspiel von Mensch und Technologie mit dem Ziel, dass Designer und Produktentwickler die Bedürfnisse, Fähigkeiten und Handlungsweisen der Nutzer in den Vordergrund stellen und Designs an diesen angepasst werden. The Design of Everyday Things ist eine informative und spannende Einführung für Designer, Marketer, Produktentwickler und für alle an gutem Design interessierten Menschen. Zum Autor Don Norman ist emeritierter Professor für Kognitionswissenschaften. Er lehrte an der University of California in San Diego und der Northwest University in Illinois. Mitte der Neunzigerjahre leitete Don Norman die Advanced Technology Group bei Apple. Dort prägte er den Begriff der User Experience, um über die reine Benutzbarkeit hinaus eine ganzheitliche Erfahrung der Anwender im Umgang mit Technik in den Vordergrund zu stellen. Norman ist Mitbegründer der Beratungsfirma Nielsen Norman Group und hat unter anderem Autohersteller von BMW bis Toyota beraten. „Keiner kommt an Don Norman vorbei, wenn es um Fragen zu einem Design geht, das sich am Menschen orientiert.“ Brand Eins 7/2013 „Design ist einer der wichtigsten Wettbewerbsvorteile. Dieses Buch macht Spaß zu lesen und ist von größter Bedeutung.” Tom Peters, Co-Autor von „Auf der Suche nach Spitzenleistungen“

Gesetze des Sehens

Gesetze des Sehens

  • Author: Wolfgang Metzger
  • Publisher: N.A
  • ISBN: N.A
  • Category: Visual perception
  • Page: 676
  • View: 7208
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Compiler

Compiler

Prinzipien, Techniken und Werkzeuge

  • Author: Alfred V. Aho
  • Publisher: Pearson Deutschland GmbH
  • ISBN: 9783827370976
  • Category: Compiler
  • Page: 1253
  • View: 585
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Neural Engineering

Neural Engineering

Computation, Representation, and Dynamics in Neurobiological Systems

  • Author: Chris Eliasmith,Charles H. Anderson
  • Publisher: MIT Press
  • ISBN: 9780262550604
  • Category: Medical
  • Page: 356
  • View: 7286
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A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.

Neural Network Design and the Complexity of Learning

Neural Network Design and the Complexity of Learning

  • Author: J. Stephen Judd
  • Publisher: MIT Press
  • ISBN: 9780262100458
  • Category: Psychology
  • Page: 150
  • View: 6180
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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 Coding

Principles of Neural Coding

  • Author: Rodrigo Quian Quiroga,Stefano Panzeri
  • Publisher: CRC Press
  • ISBN: 1439853312
  • Category: Medical
  • Page: 663
  • View: 3477
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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.

Hybrid Modeling and Optimization of Manufacturing

Hybrid Modeling and Optimization of Manufacturing

Combining Artificial Intelligence and Finite Element Method

  • Author: Ramón Quiza,Omar López-Armas,J. Paulo Davim
  • Publisher: Springer Science & Business Media
  • ISBN: 3642280846
  • Category: Computers
  • Page: 95
  • View: 2802
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Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.

Handbook of Research on Big Data Storage and Visualization Techniques

Handbook of Research on Big Data Storage and Visualization Techniques

  • Author: Segall, Richard S.,Cook, Jeffrey S.
  • Publisher: IGI Global
  • ISBN: 1522531432
  • Category: Computers
  • Page: 917
  • View: 1348
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The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Event-Based Neuromorphic Systems

Event-Based Neuromorphic Systems

  • Author: Shih-Chii Liu,Tobi Delbruck,Giacomo Indiveri,Adrian Whatley,Rodney Douglas
  • Publisher: John Wiley & Sons
  • ISBN: 1118927621
  • Category: Technology & Engineering
  • Page: 440
  • View: 1100
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Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processors. Event-based neuromorphic systems are inspired by the brain's efficient data-driven communication design, which is key to its quick responses and remarkable capabilities. This cross-disciplinary text establishes how circuit building blocks are combined in architectures to construct complete systems. These include vision and auditory sensors as well as neuronal processing and learning circuits that implement models of nervous systems. Techniques for building multi-chip scalable systems are considered throughout the book, including methods for dealing with transistor mismatch, extensive discussions of communication and interfacing, and making systems that operate in the real world. The book also provides historical context that helps relate the architectures and circuits to each other and that guides readers to the extensive literature. Chapters are written by founding experts and have been extensively edited for overall coherence. This pioneering text is an indispensable resource for practicing neuromorphic electronic engineers, advanced electrical engineering and computer science students and researchers interested in neuromorphic systems. Key features: Summarises the latest design approaches, applications, and future challenges in the field of neuromorphic engineering. Presents examples of practical applications of neuromorphic design principles. Covers address-event communication, retinas, cochleas, locomotion, learning theory, neurons, synapses, floating gate circuits, hardware and software infrastructure, algorithms, and future challenges.

Knowledge-based Neurocomputing

Knowledge-based Neurocomputing

  • Author: Ian Cloete,Jacek M. Zurada
  • Publisher: MIT Press
  • ISBN: 9780262032742
  • Category: Computers
  • Page: 486
  • View: 3412
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Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. Explicit modeling of the knowledge represented by such a system remains a major research topic. The reason is that humans find it difficult to interpret the numeric representation of a neural network. The key assumption of knowledge-based neurocomputing is that knowledge is obtainable from, or can be represented by, a neurocomputing system in a form that humans can understand. That is, the knowledge embedded in the neurocomputing system can also be represented in a symbolic or well-structured form, such as Boolean functions, automata, rules, or other familiar ways. The focus of knowledge-based computing is on methods to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system. Contributors: C. Aldrich, J. Cervenka, I. Cloete, R.A. Cozzio, R. Drossu, J. Fletcher, C.L. Giles, F.S. Gouws, M. Hilario, M. Ishikawa, A. Lozowski, Z. Obradovic, C.W. Omlin, M. Riedmiller, P. Romero, G.P.J. Schmitz, J. Sima, A. Sperduti, M. Spott, J. Weisbrod, J.M. Zurada.

Das Geheimnis des menschlichen Denkens

Das Geheimnis des menschlichen Denkens

Einblicke in das Reverse Engineering des Gehirns

  • Author: Ray Kurzweil
  • Publisher: Lola Books
  • ISBN: 394420316X
  • Category: Science
  • Page: 352
  • View: 2006
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Der Wettlauf um das Gehirn hat begonnen. Sowohl die EU als auch die USA haben gewaltige Forschungsprojekte ins Leben gerufen um das Geheimnis des menschlichen Denkens zu entschlüsseln. 2023 soll es dann soweit sein: Das menschliche Gehirn kann vollständig simuliert werden. In "Das Geheimnis des menschlichen Denkens" gewährt Googles Chefingenieur Ray Kurzweil einen spannenden Einblick in das Reverse Engineering des Gehirns. Er legt dar, wie mithilfe der Mustererkennungstheorie des Geistes der ungeheuren Komplexität des Gehirns beizukommen ist und wirft einen ebenso präzisen wie überraschenden Blick auf die am Horizont sich bereits abzeichnende Zukunft. Ist das menschliche Gehirn erst einmal simuliert, wird künstliche Intelligenz die Fähigkeiten des Menschen schon bald übertreffen. Ein Ereignis, das Kurzweil aufgrund der bereits in "Menschheit 2.0" entworfenen exponentiellen Wachstumskurve der Informationstechnologien bereits für das Jahr 2029 prognostiziert. Aber was dann? Kurzweil ist zuversichtlich, dass die Vorteile künstlicher Intelligenz mögliche Bedrohungsszenarien überwiegen und sie uns entscheidend dabei hilft, uns weiterzuentwickeln und die Herausforderungen der Zukunft zu meistern.

Eine Naturgeschichte der menschlichen Moral

Eine Naturgeschichte der menschlichen Moral

  • Author: Michael Tomasello
  • Publisher: Suhrkamp Verlag
  • ISBN: 351874822X
  • Category: Psychology
  • Page: 282
  • View: 3313
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Die Evolution des menschlichen Moralbewusstseins gehört zu den großen Rätseln der Wissenschaft. Es hat die Phantasie von Generationen von Forschern beflügelt, zahlreiche Theorien liegen auf dem Tisch, aber die Frage »Woher kommt die Moral?« ist nach wie vor offen. In Fortschreibung seiner faszinierenden Naturgeschichte des Menschen legt nun Michael Tomasello eine Antwort vor. Gestützt auf jahrzehntelange empirische Forschungen, rekonstruiert er die Entstehung des einzigartigen menschlichen Sinns für Werte und Normen als einen zweistufigen Prozess. Dieser beginnt vor einigen hunderttausend Jahren, als die frühen Menschen gemeinsame Sache machen mussten, um zu überleben; und er endet beim modernen, ultrakooperativen homo sapiens sapiens, der beides besitzt: Eine Moralität der zweiten Person, die unseren Umgang mit dem je einzelnen Gegenüber prägt, und eine gruppenbezogene »objektive« Moral, die sagt, was hier bei »uns« als gut oder gerecht gilt. In der Tradition von Mead, Kohlberg und Piaget zeigt Tomasello außerdem, wie sich die individuelle Moralentwicklung in einer bereits normengesättigten Welt vollzieht. Und so ist Eine Naturgeschichte der menschlichen Moral der derzeit wohl umfassendste Versuch zu verstehen, wie wir das geworden sind, was nur wir sind: genuin moralische Wesen.

The Second Machine Age

The Second Machine Age

Wie die nächste digitale Revolution unser aller Leben verändern wird

  • Author: Erik Brynjolfsson,Andrew McAfee
  • Publisher: Plassen Verlag
  • ISBN: 3864702224
  • Category: Political Science
  • Page: 368
  • View: 4280
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Computer sind mittlerweile so intelligent geworden, dass die nächste industrielle Revolution unmittelbar bevorsteht. Wer profitiert, wer verliert? Antworten auf diese Fragen bietet das neue Buch der Technologie-Profis Erik Brynjolfsson und Andrew McAfee. Seit Jahren arbeiten wir mit Computern - und Computer für uns. Mittlerweile sind die Maschinen so intelligent geworden, dass sie zu Leistungen fähig sind, die vor Kurzem noch undenkbar waren: Sie fahren Auto, sie schreiben eigene Texte - und sie besiegen Großmeister im Schach. Dieser Entwicklungssprung ist nur der Anfang. In ihrem neuen Buch zeigen zwei renommierte Professoren, welch atemberaubende Entwicklungen uns noch bevorstehen: Die zweite industrielle Revolution kommt! Welche Auswirkungen wird das haben? Welche Chancen winken, welche Risiken drohen? Was geschieht dabei mit den Menschen, was mit der Umwelt? Und was werden Gesellschaft und Politik tun, um die Auswirkungen dieser "neuen digitalen Intelligenz" für alle bestmöglich zu gestalten? Dieses Buch nimmt Sie mit auf eine Reise in eine Zukunft, die schon längst begonnen hat.

Self-Adaptive Systems for Machine Intelligence

Self-Adaptive Systems for Machine Intelligence

  • Author: Haibo He
  • Publisher: John Wiley & Sons
  • ISBN: 9781118025598
  • Category: Computers
  • Page: 250
  • View: 5784
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This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications.

Deep Learning mit Python und Keras

Deep Learning mit Python und Keras

Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek

  • Author: Chollet, François
  • Publisher: MITP-Verlags GmbH & Co. KG
  • ISBN: 3958458408
  • Category: Computers
  • Page: 447
  • View: 4879
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In touch with the future

In touch with the future

The sense of touch from cognitive neuroscience to virtual reality

  • Author: Alberto Gallace,Charles Spence
  • Publisher: OUP Oxford
  • ISBN: 0191501816
  • Category: Psychology
  • Page: 480
  • View: 3822
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Out of all the human senses, touch is the one that is most often unappreciated, and undervalued. Yet, the surface of the human body, the skin, is actually one huge sheet of tactile receptors. It provides us with the means to connect with our surroundings. Despite the important role that vision plays in our everyday lives, it is the skin that constitutes both the oldest, and by far the largest of our sense organs. The skin protects our body from the external world and, at the same time, informs us about what occurs on its surface. In Touch With The Future explores the science of touch, bringing together the latest findings from cognitive neuroscience about the processing of tactile information in humans. The book provides a comprehensive overview of scientific knowledge regarding themes such as tactile memory, tactile awareness (consciousness), tactile attention, the role of touch in interpersonal and sexual interactions, and the neurological substrates of touch. It highlights the many ways in which our growing understanding of the world of touch can, and in some cases already are, being applied in the real world in everything from the development of virtual reality (VR) environments, tablet PCs, mobile phones, and even teledildonics - the ultimate frontier in terms of adult entertainment. In addition, the book shows how the cognitive neuroscience approach to the study of touch can be applied to help improve the design of many real-world applications/products as well as to many of our everyday experiences, such as those related to the appreciation of food, marketing, packaging design, the development of enhanced sensory substitution systems, art, and man-machine interfaces. Crucially, the authors makes a convincing argument for the view that one cannot really understand touch, especially not in a real-world context, without placing it in a multisensory context. That is, the senses interact to influence tactile perception in everything - from changing the feel of a surface or product by changing the sound it makes or the fragrance it has. For students and researchers in the brain sciences, this book presents a valuable and fascinating exploration into one of our least understood senses