Computer Knowledge: Neuroscience

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Methods in Neuronal Modeling - 2nd Edition: From Ions to Networks (Computational Neuroscience)

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Methods in Neuronal Modeling - 2nd Edition: From Ions to Networks (Computational Neuroscience) Overview

State-of-the-art neuronal modeling techniques. For computational neuroscientists and theoretical neurobiologists.

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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems Feature

ISBN13: 9780262541855
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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems Overview

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.

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Computational Neuroscience: Realistic Modeling for Experimentalists (Frontiers in Neuroscience)

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Computational Neuroscience: Realistic Modeling for Experimentalists (Frontiers in Neuroscience) Overview

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. The author addresses varying levels of complexity, from molecular interactions within single neurons to the processing of information by neural networks. He avoids theoretical mathematics and provides just enough of the basic math used by experimentalists.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 simulation scripts necessary to run the full simulation described in the chapter examples. Each chapter covers: the theoretical foundation; parameters needed; appropriate software descriptions; evaluation of the model; future directions expected; examples in text boxes linked to the CD-ROM; and references. The first book to bring you cutting-edge developments in neuronal modeling. It provides an introduction to realistic modeling methods at levels of complexity varying from molecular interactions to neural networks. The book and CD-ROM combine to make Computational Neuroscience: Realistic Modeling for Experimentalists the complete package for understanding modeling techniques.

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