Title :
Causes of Transient Instabilities in the Dynamic Clamp
Author :
Preyer, Amanda J. ; Butera, Robert J.
Author_Institution :
Axion Biosystems, Atlanta, GA
fDate :
4/1/2009 12:00:00 AM
Abstract :
The dynamic clamp is a widely used method for integrating mathematical models with electrophysiological experiments. This method involves measuring the membrane voltage of a cell, using it to solve computational models of ion channel dynamics in real-time, and injecting the calculated current(s) back into the cell. Limitations of this technique include those associated with single electrode current clamping and the sampling effects caused by the dynamic clamp. In this study, we show that the combination of these limitations causes transient instabilities under certain conditions. Through physical experiments and simulations, we show that dynamic clamp instability is directly related to the sampling delay and the maximum simulated conductance being injected. It is exaggerated by insufficient electrode series resistance and capacitance compensation. Increasing the sampling rate of the dynamic clamp system increases dynamic clamp stability; however, this improvement, is constrained by how well the electrode series resistance and capacitance are compensated. At present, dynamic clamp sampling rates are justified solely on the temporal dynamics of the models being simulated; here we show that faster rates increase the stable range of operation for the dynamic clamp system. In addition, we show that commonly accepted levels of resistance compensation nevertheless significantly compromise the stability of a dynamic clamp system.
Keywords :
bioelectric phenomena; biomedical electrodes; biomembrane transport; cellular biophysics; cell; dynamic clamp instability; electrode series capacitance; electrode series resistance; electrophysiology; ion channel dynamics; single electrode current clamping; transient instabilities; Action potential; biological cells; control systems; nervous system; Action Potentials; Animals; Aplysia; Computer Simulation; Electrophysiology; Ganglia, Invertebrate; Membrane Potentials; Microelectrodes; Models, Statistical; Nervous System Physiological Phenomena; Neural Conduction; Neurons; Patch-Clamp Techniques; Vertebrates;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2009.2015205