Methods in Neuronal Modeling: From Ions to Networks / Edition 2

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Overview

This book serves as a handbook of computational methods and techniques for modeling the functional properties of single and groups of nerve cells.

Incl. analysis of neural excitability/oscillations & principles of spike train analysis; modeling sm. networks.

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What People Are Saying

From the Publisher
"An admirable concentration of expertise on state-of-the-art neuronalmodeling techniques—a must on the bookshelf of computationalneuroscientists and theoretical neurobiologists." Wolf Singer , M.D., Ph.D., Max-Planck-Institute for BrainResearch
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Product Details

  • ISBN-13: 9780262112314
  • Publisher: MIT Press
  • Publication date: 6/4/1998
  • Series: Computational Neuroscience
  • Edition description: second edition
  • Edition number: 2
  • Pages: 687
  • Product dimensions: 7.20 (w) x 9.10 (h) x 1.50 (d)

Meet the Author

Christof Koch is Professor of Biology and of Engineering at the California Institute ofTechnology and Chief Scientific Officer of the Allen Institute for Brain Science in Seattle. He is the author of The Quest for Consciousness and other books.

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Table of Contents

Series Foreword
Preface
1 Kinetic Models of Synaptic Transmission 1
2 Cable Theory for Dendritic Neurons 27
3 Compartmental Models of Complex Neurons 93
4 Multiple Channels and Calcium Dynamics 137
5 Modeling Active Dendritic Processes in Pyramidal Neurons 171
6 Calcium Dynamics in Large Neuronal Models 211
7 Analysis of Neural Excitability and Oscillations 251
8 Design and Fabrication of Analog VLSI Neurons 293
9 Principles of Spike Train Analysis 313
10 Modeling Small Networks 361
11 Spatial and Temporal Processing in Central Auditory Networks 411
12 Simulating Large Networks of Neurons 461
13 Modeling Feature Selectivity in Local Cortical Circuits 499
14 Numerical Methods for Neuronal Modeling 569
References 607
Contributors 655
Index 657
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