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  • © 2009

Dynamic-Clamp

From Principles to Applications

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

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xvi
  2. Testing Methods for Synaptic Conductance Analysis Using Controlled Conductance Injection with Dynamic Clamp

    • Zuzanna Piwkowska, Martin Pospischil, Michelle Rudolph-Lilith, Thierry Bal, Alain Destexhe
    Pages 115-140
  3. Functions of the Persistent Na+ Current in Cortical Neurons Revealed by Dynamic Clamp

    • J.F. Storm, K. Vervaeke, H. Hu, L.J. Graham
    Pages 165-197
  4. Using “Hard” Real-Time Dynamic Clamp to Study Cellular and Network Mechanisms of Synchronization in the Hippocampal Formation

    • John A. White, Fernando R. Fernandez, Michael N. Economo, Tilman J. Kispersky
    Pages 199-215
  5. Intrinsic and Network Contributions to Reverberatory Activity: Reactive Clamp and Modeling Studies

    • Jean-Marc Fellous, Terrence J. Sejnowski, Zaneta Navratilova
    Pages 237-259
  6. Using the Dynamic Clamp to Explore the Relationship Between Intrinsic Activity and Network Dynamics

    • Anne-Elise Tobin, Rachel Grashow, Lamont S. Tang, Stefan R. Pulver, Eve Marder
    Pages 275-285
  7. Re-Creating In Vivo-Like Activity and Investigating the Signal Transfer Capabilities of Neurons: Dynamic-Clamp Applications Using Real-Time Neuron

    • Gerard Sadoc, Gwendal Le Masson, Bruno Foutry, Yann Le Franc, Zuzanna Piwkowska, Alain Destexhe et al.
    Pages 287-320
  8. Using the Dynamic Clamp to Dissect the Properties and Mechanisms of Intrinsic Thalamic Oscillations

    • Stuart W. Hughes, Magor Lörincz, David W. Cope, Vincenzo Crunelli
    Pages 321-345
  9. Dynamic Clamp with High-Resistance Electrodes Using Active Electrode Compensation In Vitro and In Vivo

    • Romain Brette, Zuzanna Piwkowska, Cyril Monier, José Francisco, Gómez González, Yves Frégnac et al.
    Pages 347-382
  10. Key Factors for Improving Dynamic-Clamp Performance

    • Robert Butera, Risa Lin
    Pages 383-397
  11. Development of a Genetically Engineered Cardiac Pacemaker: Insights from Dynamic Action Potential Clamp Experiments

    • 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

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 authors

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 research unit (Unité de Neurosciences Intégratives et Computationnelles, UNIC). Gif-sur-Yvette 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 Bal and Destexhe. Each editor holds Ph.D.s in both biophysics and neurobiology, respectively. Dr. Destexhe is also Chief Editor of the Journal of Computational Neuroscience.

Bibliographic Information

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 269.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access