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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) [Hardcover]

Erik De Schutter (Editor)

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Book Description

November 22, 2000 0849320682 978-0849320682
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.

Editorial Reviews

Review

This book is a refreshing exception to [the dour expectations of multiauthored books]. Instead of merely repackaging their own scientific findings, the authors focused on the methodology of creating computational implementations of conceptual models of biological neurons and networks.
- N.T. Carnevale, Psychology, Yale University, in The Quarterly Review of Biology, Vol. 77, No. 2

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Inside This Book (learn more)
First Sentence:
Modeling is casting systems into formula.1 Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
passive cable modeling, linear thermodynamic model, point neuron models, excess buffer approximation, coordinating neurons, elemental oscillator, leech heart interneurons, buffered diffusion, oscillator interneurons, rapid buffer approximation, centrifugal order, pyramidal cell basal dendrites, graded synaptic transmission, buffer profile, active membrane model, theta frequency oscillations, background neurons, segmental oscillators, graded transmission, presynaptic membrane potential, ray marching, fitness coefficient, somatic shunt, unimolecular transitions, cell dendritic trees
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Monte Carlo, Brain Res, Oxford University Press, Neural Comput, Trends Neurosci, Theoretical Foundation, Academic Press, Cambridge University Press, Clarendon Press, Cell Calcium, John Wiley, Branch Points Dendrite, Cell Biol, Describing the Variation, Length Dendrite, Modeling Networks of Signaling Pathways, Molecular Probes, Numerical Recipes, Surface Area Dendrite, Eichler West, Plenum Press, San Diego, Synaptic Organization of the Brain, The Mathematics of Diffusion
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