Mathematical Foundations of Neuroscience, G. Bard Ermentrout; David H. Terman

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
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Цена: 91860.00 T
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Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 57030.00 T
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Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.

Автор: Giovanni Naldi; Thierry Nieus
Название: Mathematical and Theoretical Neuroscience
ISBN: 3319682962 ISBN-13(EAN): 9783319682969
Издательство: Springer
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Цена: 111790.00 T
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Описание: This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications.

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: 41880.00 T
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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.

Автор: Devaney
Название: Mathematical Foundations of Imaging, Tomography and Wavefield Inversion
ISBN: 052111974X ISBN-13(EAN): 9780521119740
Издательство: Cambridge Academ
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Цена: 55970.00 T
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Описание: Combining theory with numerous MATLAB based examples, this text provides a clear and systematic treatment of the mathematical and physical foundations of imaging and wavefield inversion. Key areas of discussion include Green function and the concept of field time reversal. It will appeal to graduate students and researchers alike.

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: 70730.00 T
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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.

Автор: Siegel Allan MD, Sapru Hreday N.
Название: Essential Neuroscience
ISBN: 1451189680 ISBN-13(EAN): 9781451189681
Издательство: Lippincott Williams & Wilkins
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Цена: 64070.00 T
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Описание: Essential Neuroscience, 3e integrates must-have neuroscience information with clinical and physiological considerations to help readers master the fundamentals of neuroscience and prepare for board and course exams. Acclaimed for its concise, clinica