Computational Neuroscience, De Schutter, Erik

Автор: Haines Duane E.
Название: Fundamental Neuroscience for Basic and Clinical Applications
ISBN: 0323396321 ISBN-13(EAN): 9780323396325
Издательство: Elsevier Science
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Цена: 12968.00 р.
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Описание:

Using a rigorous yet clinically-focused approach, Fundamental Neuroscience for Basic and Clinical Applications, 5th Edition, covers the fundamental neuroscience information needed for coursework, exams, and beyond. It integrates neuroanatomy, pharmacology, and physiology, and offers a full section devoted to systems neurobiology, helping you comprehend and retain the complex material you need to know.

• Highlights clinical content in blue throughout the text, helping you focus on what you need to know in the clinical environment.

• Presents thoroughly updated information in every chapter, with an emphasis on new clinical thinking as related to the brain and systems neurobiology.
• Features hundreds of correlated state-of-the-art imaging examples, anatomical diagrams, and histology photos - nearly half are new or improved for this edition.
• Pays special attention to the correct use of clinical and anatomical terminology, and provides new clinical text and clinical-anatomical correlations.

Автор: Daniel Durstewitz
Название: Advanced Data Analysis in Neuroscience
ISBN: 3319867504 ISBN-13(EAN): 9783319867502
Издательство: Springer
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Цена: 6951.00 р.
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Описание: This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics.

Автор: Chiao, Joan
Название: Philosophy of Computational Neuroscience
ISBN: 0367347512 ISBN-13(EAN): 9780367347512
Издательство: Taylor&Francis
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Цена: 5817.00 р.
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Описание: This book aims to illuminate theoretical and methodological advances in computational cultural neuroscience and the implications of these advances for philosophy.

Автор: Singh Harjit Pal, Sharma Anurag, Khullar Vikas
Название: Futuristic Design and Intelligent Computational Techniques in Neuroscience and Neuroengineering
ISBN: 1799874338 ISBN-13(EAN): 9781799874331
Издательство: Mare Nostrum (Eurospan)
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Цена: 70982.00 р.
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Описание: Highlights advanced computational models and hardware designs in neurology and integration of mathematical physical, biological, chemical, and engineering models to mimic brain functions; discovers new technological diagnosis techniques; and achieves high accuracy in learning models to better understand the functioning of the human brain.

Автор: Alain Destexhe; Michelle Rudolph-Lilith
Название: Neuronal Noise
ISBN: 1489990291 ISBN-13(EAN): 9781489990297
Издательство: Springer
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Цена: 25075.00 р.
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Описание: This book examines noise in neurons, emphasizing synaptic noise. It includes a combination of experimental, theoretical and computational results showing how noise is inherent to neuronal activity, and how it can be important for neuronal computations.

Автор: Torben Nielsen Benjamin
Название: Computing Dendrite
ISBN: 1461480930 ISBN-13(EAN): 9781461480938
Издательство: Springer
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Цена: 26216.00 р.
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Описание: This book offers an overview of the diversity of mechanisms that dendrites can employ to shape neural computations. ГЇВїВЅ It brings together a wide range of studies, with topics ranging from general to system-specific phenomena.

Автор: Dayan, Peter Abbott, L.f.
Название: Theoretical neuroscience
ISBN: 0262541858 ISBN-13(EAN): 9780262541855
Издательство: Random House (USA)
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Цена: 11035.00 р.
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Описание:

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.

The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

Автор: Trappenberg Thomas P.
Название: Fundamentals of Computational Neuroscience
ISBN: 0199568413 ISBN-13(EAN): 9780199568413
Издательство: Oxford Academ
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Цена: 10613.00 р.
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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.

Автор: Stone James V.
Название: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency
ISBN: 0993367968 ISBN-13(EAN): 9780993367960
Издательство: Неизвестно
Цена: 13104.00 р.
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Описание: Around 1910, three Dutch intellectuals separately visited Manila. Feminist doctor Aletta Jacobs, orientalist scholar Gerret Rouffaer, and ethnologist Hendrik Muller were all curious to see how the Americans were implementing their colonial policy of "benevolent assimilation." In this book their reports are for the first time made available, adding to the social history of the city and the country.

Автор: Prilutsky Boris I., Edwards Donald H.
Название: Neuromechanical Modeling of Posture and Locomotion
ISBN: 1493980084 ISBN-13(EAN): 9781493980086
Издательство: Springer
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Цена: 18294.00 р.
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Описание:

Part I. Innovative modeling approaches in neuromechanical research

Chapter 1. Better science through predictive modeling: Numerical tools for understanding neuromechanical interactions - Nathan E. Bunderson and Jeffrey Bingham

Chapter 2. A neuromechanical model of spinal control of locomotion - Sergey N. Markin, Alexander N. Klishko, Natalia A. Shevtsova, Michel A. Lemay, Boris I. Prilutsky and Ilya A. Rybak

Part II. Organization of afferent signals, central neural circuits and the musculoskeletal system: Insights from neuromechanical modeling

Chapter 3. Neural regulation of limb mechanics: Insights from the organization of proprioceptive circuits - T. Richard Nichols, Nathan E. Bunderson and Mark A. Lyle

Chapter 4. Model-based approaches to understanding musculoskeletal filtering of neural signals - Thomas J. Burkholder

Chapter 5. Modeling the organization of spinal cord neural circuits controlling two-joint muscles - Natalia A. Shevtsova, Khaldoun Hamade, Samit Chakrabarty, Sergey N. Markin, Boris I. Prilutsky and Ilya A. Rybak

Chapter 6. Muscles: non-linear transformers of motor neuron activity - Scott L. Hooper, Christoph Guschlbauer, Marcus Blьmel, Arndt von Twickel, Kevin H. Hobbs, Jeffrey B. Thuma and Ansgar Bьschges