Dynamic-Clamp

From Principles to Applications

  • Thierry Bal
  • Alain Destexhe

Part of the Springer Series in Computational Neuroscience book series (NEUROSCI, volume 1)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Zuzanna Piwkowska, Martin Pospischil, Michelle Rudolph-Lilith, Thierry Bal, Alain Destexhe
    Pages 115-140
  3. J.F. Storm, K. Vervaeke, H. Hu, L.J. Graham
    Pages 165-197
  4. John A. White, Fernando R. Fernandez, Michael N. Economo, Tilman J. Kispersky
    Pages 199-215
  5. Jean-Marc Fellous, Terrence J. Sejnowski, Zaneta Navratilova
    Pages 237-259
  6. Anne-Elise Tobin, Rachel Grashow, Lamont S. Tang, Stefan R. Pulver, Eve Marder
    Pages 275-285
  7. Gerard Sadoc, Gwendal Le Masson, Bruno Foutry, Yann Le Franc, Zuzanna Piwkowska, Alain Destexhe et al.
    Pages 287-320
  8. Stuart W. Hughes, Magor Lörincz, David W. Cope, Vincenzo Crunelli
    Pages 321-345
  9. Romain Brette, Zuzanna Piwkowska, Cyril Monier, José Francisco, Gómez González, Yves Frégnac et al.
    Pages 347-382
  10. Robert Butera, Risa Lin
    Pages 383-397
  11. Arie O. Verkerk, Jan G. Zegers, Antoni C.G. van Ginneken, Ronald Wilders
    Pages 399-415
  12. Back Matter
    Pages 417-429

About this book

Introduction

Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models. The dynamic-clamp (also called "conductance injection") allows experimentalists and theoreticians to challenge neurons (or any other type of cell) with complex conductance stimuli generated by a computer.

The technique can be implemented from neural simulation environments and a variety of custom-made or commercial systems. The real-time interaction between the computer and cell also enables the design of recording paradigms with unprecedented accuracy via a computational model of the electrode. Dynamic- Clamp: From Principles to Applications contains contributions from leading researchers in the field, who investigate these paradigms at the cellular or network level, in vivo and in vitro, and in different brain regions and cardiac cells. Topics discussed include the addition of artificially-generated synaptic activity to neurons; adding, amplifying or neutralizing voltage-dependent conductances; creating hybrid networks with real and artificial cells; attaching simulated dendritic tree structures to the living cell; and connecting different neurons.

This book will be of interest to experimental biophysicists, neurophysiologists, and cardiac physiologists, as well as theoreticians, engineers, and computational neuroscientists. Graduate and undergraduate students will also find up-to-date coverage of physiological problems and how they are investigated.

About the Editors:

Dr. Alain Destexhe and Dr. Thierry Bal are Research Directors at the Centre National de la Recherche Scientifique (CNRS), a governmental research institution in France. Their laboratories are located in the CNRS campus of Gif-sur-Yvette in the UNIC (Unité de Neurosciences Intégratives et Computationnelles) research unit. This campus is solely devoted to research and provides an ideal environment for close interaction between theory and experiments, as exemplified by the numerous publications on dynamic-clamp experiments co-authored by Dr. Bal and Dr. Destexhe. Each editor holds Ph.D.s in biophysics and neurobiology, respectively. Dr. Destexhe is also Chief Editor of the Journal of Computational Neuroscience.

Keywords

Biophysics Cortex Neurobiology Stent cells computational neuroscience neurons physiology

Editors and affiliations

  • Thierry Bal
  • Alain Destexhe

There are no affiliations available

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-89279-5
  • Copyright Information Springer-Verlag New York 2009
  • Publisher Name Springer, New York, NY
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-0-387-89278-8
  • Online ISBN 978-0-387-89279-5
  • About this book