Article Summary

Title : A nonparametric electrode model for intracellular recording
Authors : Romain Brette, Zuzanna Piwkowska, Michelle Rudolph, Thierry Bal and Alain Destexhe
Year : 2007
Journal : Neurocomputing
Volume : 70
Pages : 1597-1601


We present a new way to model the response of an electrode to an injected current. The electrode is represented by an unknown complex linear circuit, characterized by a kernel which we determine by injecting a noisy current. We show both in simulations and experiments that, when applied to a full recording setup (including acquisition board and ampli?er), the method captures not only the characteristics of the electrode, but also those of all the devices between the computer and the tip of the electrode, including ?lters and the capacitance neutralization circuit on the ampli?er. Simulations show that the method allows correct predictions of the response of complex electrode models. Finally, we successfully apply the technique to challenging intracellular recording situations in which the voltage across the electrode during injection needs to be subtracted from the recording, in particular conductance injection with the dynamic clamp protocol. We show in numerical simulations and con?rm with experiments that the method performs well in cases when both bridge recording and recording in discontinuous mode (DCC) exhibit artefacts. (This work was supported by: CNRS, INRIA, European Commission (FACETS, FP6-2004-IST-FET), Action Concerte ยด e Incitative (NIC0005).)