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Computational Neuroscience, Wanpracha Chaovalitwongse; Panos Pardalos; Petros



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Автор: Wanpracha Chaovalitwongse; Panos Pardalos; Petros
Название:  Computational Neuroscience
Перевод названия: Вычислительная неврология
ISBN: 9781461425991
Издательство: Springer
Классификация:
ISBN-10: 1461425999
Обложка/Формат: Paperback
Страницы: 396
Вес: 0.599 кг.
Дата издания: 2010
Серия: Springer Optimization and Its Applications
Язык: English
Иллюстрации: 16 black & white tables, biography
Размер: 158 x 234 x 25
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии



Fundamentals of Computational Neuroscience

Автор: Trappenberg Thomas P.
Название: Fundamentals of Computational Neuroscience
ISBN: 0199568413 ISBN-13(EAN): 9780199568413
Издательство: Oxford Academ
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Цена: 7395 р.
Наличие на складе: Поставка под заказ.

Описание: The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.

From Computer to Brain / Foundations of Computational Neuroscience

Автор: Lytton William W.
Название: From Computer to Brain / Foundations of Computational Neuroscience
ISBN: 0387955267 ISBN-13(EAN): 9780387955261
Издательство: Springer
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Цена: 5192 р.
Наличие на складе: Поставка под заказ.

Описание: Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. 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 in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.

Fundamental Neuroscience for Basic and Clinical Applications,

Автор: Duane E. Haines
Название: Fundamental Neuroscience for Basic and Clinical Applications,
ISBN: 1437702945 ISBN-13(EAN): 9781437702941
Издательство: Elsevier Science
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Цена: 8315 р.
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Описание: Includes coverage of neuroanatomy, physiology, and pharmacology, with a particular emphasis on systems neurobiology, effectively prepares you for your courses, exams, and beyond.

Principles of Computational Modelling in Neuroscience

Автор: Sterratt
Название: Principles of Computational Modelling in Neuroscience
ISBN: 0521877954 ISBN-13(EAN): 9780521877954
Издательство: Cambridge Academ
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Цена: 6983 р.
Наличие на складе: Поставка под заказ.

Описание: How to use techniques of computational modelling to understand the nervous system at all levels from ion channels to networks.

Computational neuroscience

Автор: Chaovalitwongse
Название: Computational neuroscience
ISBN: 038788629X ISBN-13(EAN): 9780387886299
Издательство: Springer
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Цена: 19634 р.
Наличие на складе: Поставка под заказ.

Описание: This volume includes contributions from numerous disciplines, bridging a vital gap between the mathematical sciences and neuroscience research. This book demonstrates how methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging modern neuroscience problems.

Computational Neuroscience: Trends in Research 1999,

Автор: J.M. Bower
Название: Computational Neuroscience: Trends in Research 1999,
ISBN: 0444503072 ISBN-13(EAN): 9780444503077
Издательство: Elsevier Science
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Цена: 27720 р.
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Описание: Includes papers originally presented at the 7th annual Computational Neuroscience Meeting (CNS`98) held in July of 1998 in Santa Barbara, California. This work includes papers that range from experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. It focuses on understanding how nervous systems compute.

20 Years of Computational Neuroscience

Автор: Bower
Название: 20 Years of Computational Neuroscience
ISBN: 1461414237 ISBN-13(EAN): 9781461414230
Издательство: Springer
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Цена: 19428 р.
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Описание: Informed by the 20-year history of meetings of the Organization of Computational Neuroscience, this volume summarizes the progress made in the subject area over the last two decades, as well as considering the current challenges faced in the field.

Computational Neuroscience

Автор: De Schutter
Название: Computational Neuroscience
ISBN: 0849320682 ISBN-13(EAN): 9780849320682
Издательство: Taylor&Francis
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Цена: р.
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Описание: Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience: Realistic Modeling for Experimentalists focuses on methodological approaches, selecting appropriate methods, and identifying potential pitfalls. What makes this resource unique is the inclusion of a CD-ROM that furnishes interactive modeling examples. It contains tutorials and demos, movies and images, and the scripts necessary to run the full simulations described in the examples. Each chapter includes theoretical foundations, parameters needed, appropriate software descriptions, evaluation of the model, future directions, examples linked to the CD-ROM, and references.

Computational Neuroscience of Drug Addiction

Автор: Boris Gutkin; Serge H. Ahmed
Название: Computational Neuroscience of Drug Addiction
ISBN: 1461429404 ISBN-13(EAN): 9781461429401
Издательство: Springer
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Цена: 23746 р.
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Описание: This book describes the torrent of data generated through research on the neurobiology and psychology of drug addiction, and discusses the role of mathematical and computational modeling in the development of more testable and rigorous models of addiction.

Computational Neuroscience

Автор: Feng
Название: Computational Neuroscience
ISBN: 1584883626 ISBN-13(EAN): 9781584883623
Издательство: Taylor&Francis
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Цена: р.
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Описание: Computational Neuroscience: A Comprehensive Approach provides a unified treatment of the mathematical theory of the nervous system and presents concrete examples demonstrating how computational techniques can illuminate difficult neuroscience problems. In chapters contributed by top researchers, the book introduces the basic mathematical concepts, then examines modeling at all levels, from single channel and single neuron modeling to neuronal networks and system-level modeling. The emphasis is on models with close ties to experimental observations and data, and the authors review applications of the models to systems such as olfactory bulbs, fly vision, and sensorymotor systems.

Computational and Cognitive Neuroscience of Vision

Автор: Zhao
Название: Computational and Cognitive Neuroscience of Vision
ISBN: 9811002118 ISBN-13(EAN): 9789811002113
Издательство: Springer
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Цена: 17324 р.
Наличие на складе: Поставка под заказ.

Описание: Despite a plethora of scientific literature devoted to vision research and the trend toward integrative research, the borders between disciplines remain a practical difficulty. To address this problem, this book provides a systematic and comprehensive overview of vision from various perspectives, ranging from neuroscience to cognition, and from computational principles to engineering developments. It is written by leading international researchers in the field, with an emphasis on linking multiple disciplines and the impact such synergy can lead to in terms of both scientific breakthroughs and technology innovations. It is aimed at active researchers and interested scientists and engineers in related fields.

From Neuron to Cognition Via Computational Neuroscience

Автор: Arbib Michael A., Bonaiuto James J.
Название: From Neuron to Cognition Via Computational Neuroscience
ISBN: 0262034964 ISBN-13(EAN): 9780262034968
Издательство: MIT Press
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Цена: 12599 р.
Наличие на складе: Нет в наличии.

Описание:

A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition.

This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience -- methods for modeling the causal interactions underlying neural systems -- complements empirical research in advancing the understanding of brain and behavior.

The chapters -- all by leaders in the field, and carefully integrated by the editors -- cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language -- the core of human cognition.

The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter).

Contributors
Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille


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