An Introduction to Transfer Entropy, Terry Bossomaier; Lionel Barnett; Michael Harr?; J

Автор: Huang, Kerson,
Название: Introduction to statistical physics
ISBN: 1420079026 ISBN-13(EAN): 9781420079029
Издательство: Taylor&Francis
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Цена: 71450.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by a world-renowned theoretical physicist, this textbook familiarizes advanced undergraduate students with the different aspects of statistical physics. Along with many exercises, it includes a discussion of phase transition in thermodynamics. It also covers stochastic processes.

Автор: Lesk Arthur
Название: Introduction to Bioinformatics
ISBN: 0199651566 ISBN-13(EAN): 9780199651566
Издательство: Oxford Academ
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Цена: 41170.00 T
Наличие на складе: Невозможна поставка.
Описание: Introduction to Bioinformatics provides friendly guidance and advice on how to use a range of computational methods and techniques for retrieving and analysing biological data. The book is ideal for those new to the subject, with frequent self-test problems and exercises incorporated throughout the text to encourage self-directed learning.

Автор: Ertel
Название: Introduction to Artificial Intelligence
ISBN: 0857292986 ISBN-13(EAN): 9780857292988
Издательство: Springer
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Цена: 32560.00 T
Наличие на складе: Невозможна поставка.
Описание: This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website.

Автор: Griffiths, Anthony J.f. Wessler, Susan R. Carroll,
Название: Introduction to genetic analysis
ISBN: 1429276347 ISBN-13(EAN): 9781429276344
Издательство: Palgrave
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Цена: 38150.00 T
Наличие на складе: Нет в наличии.

Автор: Glickstein Mitchell
Название: Neuroscience: A Historical Introduction
ISBN: 0262026805 ISBN-13(EAN): 9780262026802
Издательство: MIT Press
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Цена: 67710.00 T
Наличие на складе: Нет в наличии.
Описание:

An introduction to the structure and function of the nervous system that emphasizes the history of experiments and observations that led to modern neuroscientific knowledge.

This introduction to neuroscience is unique in its emphasis on how we know what we know about the structure and function of the nervous system. What are the observations and experiments that have taught us about the brain and spinal cord? The book traces our current neuroscientific knowledge to many and varied sources, including ancient observations on the role of the spinal cord in posture and movement, nineteenth-century neuroanatomists' descriptions of the nature of nerve cells, physicians' attempts throughout history to correlate the site of a brain injury with its symptoms, and experiments on the brains of invertebrates.

After an overview of the brain and its connections to the sensory and motor systems, Neuroscience discusses, among other topics, the structure of nerve cells; electrical transmission in the nervous system; chemical transmission and the mechanism of drug action; sensation; vision; hearing; movement; learning and memory; language and the brain; neurological disease; personality and emotion; the treatment of mental illness; and consciousness. It explains the sometimes baffling Latin names for brain subdivisions; discusses the role of technology in the field, from microscopes to EEGs; and describes the many varieties of scientific discovery. The book's novel perspective offers a particularly effective way for students to learn about neuroscience. It also makes it clear that past contributions offer a valuable guide for thinking about the puzzles that remain.

Автор: McHenry Bill
Название: Counselor`s Introduction to Neuroscience
ISBN: 0415662281 ISBN-13(EAN): 9780415662284
Издательство: Taylor&Francis
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Цена: 37760.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

A Counselor's Introduction to Neuroscience is a guidebook to neurobiology that is customized for counselors' unique goals and requirements. Drawing on years of experience, not only in the lab, but in the counselor's chair, the authors unravel the complexities of neuroscience and present an easily understood volume that is an essential companion for any counselor who wishes to expand his or her understanding of the human brain, how it works, and how it creates our identities.

Автор: Charlesworth, Brian (Institute of Cell, Animal and
Название: Evolution: A Very Short Introduction
ISBN: 0192802518 ISBN-13(EAN): 9780192802514
Издательство: Oxford Education
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Цена: 11870.00 T
Наличие на складе: Поставка под заказ.
Описание: Talks about the role of evolutionary biology in transforming our view of human origins and relation to the universe, and the impact of this idea on traditional philosophy and religion. This book aims to introduce some of the important findings, concepts, and procedures of evolutionary biology.

Автор: H.B. Mitchell
Название: Multi-Sensor Data Fusion: An Introduction
ISBN: 3642090672 ISBN-13(EAN): 9783642090677
Издательство: Springer
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Цена: 87060.00 T
Наличие на складе: Поставка под заказ.
Описание: This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.