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Dynamic-Clamp

From Principles to Applications

  • Book
  • © 2009

Overview

Editors:
  1. Thierry Bal
  2. Alain Destexhe

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

  • 13k Accesses

  • 29 Citations

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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.

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Associating Living Cells and Computational Models: an Introduction to Dynamic Clamp Principles and its Applications

    • Zuzanna Piwkowska, Alain Destexhe, Thierry Bal
    Pages 1-30

  3. Dendritic Dynamic Clamp – A Tool to Study Single Neuron Computation

    • Stephen R. Williams
    Pages 31-47

  4. Synaptic Conductances and Spike Generation in Cortical Cells

    • Hugh P. C. Robinson
    Pages 49-71

  5. Simulating In Vivo Background Activity in a Slice with the Dynamic Clamp

    • Frances Chance, Larry F. Abbott
    Pages 73-87

  6. Impact of Background Synaptic Activity on Neuronal Response Properties Revealed by Stepwise Replication of In Vivo-Like Conditions In Vitro

    • Steven A. Prescott, Yves De Koninck
    Pages 89-114

  7. 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

  8. In Vivo Dynamic-Clamp Manipulation of Extrinsic and Intrinsic Conductances: Functional Roles of Shunting Inhibition and I BK in Rat and Cat Cortex

    • Lyle J. Graham, Adrien Schramm
    Pages 141-163

  9. 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

  10. 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

  11. Unraveling the Dynamics of Deep Cerebellar Nucleus Neurons with the Application of Artificial Conductances

    • Dieter Jaeger, Risa Lin
    Pages 217-235

  12. Intrinsic and Network Contributions to Reverberatory Activity: Reactive Clamp and Modeling Studies

    • Jean-Marc Fellous, Terrence J. Sejnowski, Zaneta Navratilova
    Pages 237-259

  13. Dynamic-Clamp-Constructed Hybrid Circuits for the Study of Synchronization Phenomena in Networks of Bursting Neurons

    • Carmen C Canavier, Fred H Sieling, Astrid A Prinz
    Pages 261-273

  14. 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

  15. 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

  16. 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

  17. 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

  18. Key Factors for Improving Dynamic-Clamp Performance

    • Robert Butera, Risa Lin
    Pages 383-397

  19. 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

  20. Back Matter

    Pages 417-429
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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.

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