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Idan Segev - Methods in neuronal modeling: from ions to networks

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Much research focuses on the question of how information is processed in nervous systems, from the level of individual ionic channels to large-scale neuronal networks, and from simple animals such as sea slugs and flies to cats and primates. New interdisciplinary methodologies combine a bottom-up experimental methodology with the more top-down-driven computational and modeling approach. This book serves as a handbook of computational methods and techniques for modeling the functional properties of single and groups of nerve cells.The contributors highlight several key trends: (1) the tightening link between analytical/numerical models and the associated experimental data, (2) the broadening of modeling methods, at both the subcellular level and the level of large neuronal networks that incorporate real biophysical properties of neurons as well as the statistical properties of spike trains, and (3) the organization of the data gained by physical emulation of the nervous system components through the use of very large scale circuit integration (VLSI) technology.The field of neuroscience has grown dramatically since the first edition of this book was published nine years ago. Half of the chapters of the second edition are completely new; the remaining ones have all been thoroughly revised. Many chapters provide an opportunity for interactive tutorials and simulation programs. They can be accessed via Christof Kochs Website.Contributors : Larry F. Abbott, Paul R. Adams, Hagai Agmon-Snir, James M. Bower, Robert E. Burke, Erik de Schutter, Alain Destexhe, Rodney Douglas, Bard Ermentrout, Fabrizio Gabbiani, David Hansel, Michael Hines, Christof Koch, Misha Mahowald, Zachary F. Mainen, Eve Marder, Michael V. Mascagni, Alexander D. Protopapas, Wilfrid Rall, John Rinzel, Idan Segev, Terrence J. Sejnowski, Shihab Shamma, Arthur S. Sherman, Paul Smolen, Haim Sompolinsky, Michael Vanier, Walter M. Yamada.

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title Methods in Neuronal Modeling From Ions to Networks Computational - photo 1

title:Methods in Neuronal Modeling : From Ions to Networks Computational Neuroscience
author:Koch, Christof.
publisher:MIT Press
isbn10 | asin:0262112310
print isbn13:9780262112314
ebook isbn13:9780585375878
language:English
subjectNeural networks (Neurobiology) , Nervous system--Computer simulation, Neurons--Computer simulation.
publication date:1998
lcc:QP363.3.M46 1998eb
ddc:573.8/01/13
subject:Neural networks (Neurobiology) , Nervous system--Computer simulation, Neurons--Computer simulation.
Page i
Methods in Neuronal Modeling
Page ii
Computational Neuroscience
Terrence J. Sejnowski and Tomaso A. Poggio, editors
Methods in Neuronal Modeling: From Synapses to Networks,
edited by Christof Koch and Idan Segev, 1989
Neural Nets in Electric Fish, Walter Heiligenberg, 1991
The Computational Brain, Patricia S. Churchland
and Terrence J. Sejnowski, 1992
Dynamic Biological Networks: The Stomatogastric Nervous System,
edited by Ronald M. Harris-Warrick, Eve Marder, Allen I. Selverston,
and Maurice Moulins, 1992
The Neurobiology of Neural Networks,
edited by Daniel Gardner, 1993
Large-Scale Neuronal Theories of the Brain,
edited by Christof Koch and Joel L. Davis, 1994.
The Theoretical Foundation of Dendritic Function: Selected Papers
of Wilfrid Rall with Commentaries
, edited by Idan Segev,
John Rinzel, and Gordon M. Shepherd, 1995
Models of Information Processing in the Basal Ganglia,
edited by James C. Houk, Joel L. Davis, and David G. Beiser, 1995
Spikes: Exploring the Neural Code, Fred Rieke, David Warland,
Rob de Ruyter van Steveninck, and William Bialek, 1997
Neurons, Networks, and Motor Behavior, edited by Paul S. G. Stein,
Sten Grillner, Allen I. Selverston, and Douglas G. Stuart, 1997
Methods in Neuronal Modeling: From Ions to Networks, second edition,
edited by Christof Koch and Idan Segev, 1998
Page iii
Methods in Neuronal Modeling
From Ions to Networks
second edition
edited by
Christof Koch and Idan Segev
Page iv 1998 Massachusetts Institute of Technology All rights reserved - photo 2
Page iv
1998 Massachusetts Institute of Technology
All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher.
This book was set in Times New Roman on the Monotype "Prism Plus" PostScript Imagesetter by Asco Trade Typesetting Ltd., Hong Kong, and was printed and bound in the United States of America.
Library of Congress Cataloging-in-Publication Data
Methods in neuronal modeling : from ions to networks / edited by
Christof Koch and Idan Segev. 2nd ed.
p. cm.
Includes bibliographical references and index.
ISBN 0-262-11231-0 (alk. paper)
1. Neural networks (Neurobiology) 2. Nervous systemComputer
simulation. 3. NeuronsComputer simulation. I. Koch, Christof.
II. Segev, Idan.
QP363.3.M46 1998
573.80113DC21 97-17166
CIP
Page v
Picture 3
Throughout all his existence man has been striving to hear the music of the spheres, and has
seemed to himself once and again to catch some phrase of it, or even a hint of the whole form of it.
Yet he can never be sure that he has truly heard it, nor even that there is any such perfect music at
all to be heard. Inevitably so, for if it exists, it is not for him in his littleness.
"Last and First Man"
Olaf Stapledon
Page vii
Contents
Series Foreword
ix
Preface
xi
1
Kinetic Models of Synaptic Transmission
Alain Destexhe, Zachary F. Mainen, and Terrence J. Sejnowski
1
2
Cable Theory for Dendritic Neurons
Wilfrid Rall and Hagai Agmon-Snir
27
3
Compartmental Models of Complex Neurons
Idan Segev and Robert E. Burke (Appendix by Michael Hines)
93
4
Multiple Channels and Calcium Dynamics
Walter M. Yamada, Christof Koch, and Paul R. Adams
137
5
Modeling Active Dendritic Processes in Pyramidal Neurons
Zachary F. Mainen and Terrence J. Sejnowski
171
6
Calcium Dynamics in Large Neuronal Models
Erik De Schutter and Paul Smolen
211
7
Analysis of Neural Excitability and Oscillations
John Rinzel and Bard Ermentrout
251
8
Design and Fabrication of Analog VLSI Neurons
Rodney Douglas and Misha Mahowald
293
9
Principles of Spike Train Analysis
Fabrizio Gabbiani and Christof Koch
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