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The handbook of brain theory and neural networks / Michael A. Arbib

Public ISBD Titre : The handbook of brain theory and neural networks Type de document : texte imprimé Auteurs : Michael A. Arbib, Auteur Mention d'édition : 2nd. ed. Editeur : Cambridge, Massachusetts, London : The Mit Press Année de publication : 2003 Importance : 1290 p. Présentation : couv. ill. en coul., ill. Format : 28,7 ISBN/ISSN/EAN : 978-0-262-01197-6 Langues : Anglais (eng) Index. décimale : 00-07 HandBook Résumé : Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made in recent years in the many subfields related to the two great questions: How does the brain work? and, How can we build intelligent machines? Once again, the heart of the book is a set of almost 300 articles covering the whole spectrum of topics in brain theory and neural networks. The first two parts of the book, prepared by Michael Arbib, are designed to help readers orient themselves in this wealth of material. Part I provides general background on brain modeling and on both biological and artificial neural networks. Part II consists of "Road Maps" to help readers steer through articles in part III on specific topics of interest. The articles in part III are written so as to be accessible to readers of diverse backgrounds. They are cross-referenced and provide lists of pointers to Road Maps, background material, and related reading. The second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. It contains 287 articles, compared to the 266 in the first edition. Articles on topics from the first edition have been updated by the original authors or written anew by new authors, and there are 106 articles on new topics. Note de contenu : Contents Part I: Background: The Elements of Brain Theory and Neural Networks 1.1 Introducing the Neuron 1.2 Levels and Styles of Analysis 1.3 Dynamics and Adaptation in Neural Networks Part II: Road Maps: A Guided Tour of Brain Theory and Neural Networks How to Use Part II II.1 the Meta-Map II.2 Grounding Models of Neurons and Networks II.3 Brain, Behavior, and Cognition II.4 Psychology, Linguistics, and Artificial Intelligence II.5 Biological Neurons and Networks II.6 Dynamics and Learning in Artificial Networks II.7 Sensory Systems II.8 Motor Systems II.9 Applications, Implementations, and Analysis Part III: Articles The articles in Part III are arranged alphabetically by title. To retrieve articles by author, turn to the contributors list, which begins on page 1241 The handbook of brain theory and neural networks [texte imprimé] / Michael A. Arbib, Auteur  . -  2nd. ed. . - Cambridge, Massachusetts, London : The Mit Press, 2003 . - 1290 p. : couv. ill. en coul., ill. ; 28,7. ISBN : 978-0-262-01197-6 Langues : Anglais (eng) Index. décimale : 00-07 HandBook Résumé : Dramatically updating and extending the first edition, published in 1995, the second edition of The Handbook of Brain Theory and Neural Networks presents the enormous progress made in recent years in the many subfields related to the two great questions: How does the brain work? and, How can we build intelligent machines? Once again, the heart of the book is a set of almost 300 articles covering the whole spectrum of topics in brain theory and neural networks. The first two parts of the book, prepared by Michael Arbib, are designed to help readers orient themselves in this wealth of material. Part I provides general background on brain modeling and on both biological and artificial neural networks. Part II consists of "Road Maps" to help readers steer through articles in part III on specific topics of interest. The articles in part III are written so as to be accessible to readers of diverse backgrounds. They are cross-referenced and provide lists of pointers to Road Maps, background material, and related reading. The second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. It contains 287 articles, compared to the 266 in the first edition. Articles on topics from the first edition have been updated by the original authors or written anew by new authors, and there are 106 articles on new topics. Note de contenu : Contents Part I: Background: The Elements of Brain Theory and Neural Networks 1.1 Introducing the Neuron 1.2 Levels and Styles of Analysis 1.3 Dynamics and Adaptation in Neural Networks Part II: Road Maps: A Guided Tour of Brain Theory and Neural Networks How to Use Part II II.1 the Meta-Map II.2 Grounding Models of Neurons and Networks II.3 Brain, Behavior, and Cognition II.4 Psychology, Linguistics, and Artificial Intelligence II.5 Biological Neurons and Networks II.6 Dynamics and Learning in Artificial Networks II.7 Sensory Systems II.8 Motor Systems II.9 Applications, Implementations, and Analysis Part III: Articles The articles in Part III are arranged alphabetically by title. To retrieve articles by author, turn to the contributors list, which begins on page 1241

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Code-barres	Cote	Support	Localisation	Section	Disponibilité	N.Inventaire
150	00-07-01	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	150