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.