409 citations · 1.3k across the 13 of their papers we have counts for
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A framework to reconcile frequency scaling measurements, from intracellular recordings, local-field potentials, up to EEG and MEG signals
Claude Bedard, Jean-Marie Gomes, Thierry Bal +1
In this viewpoint article, we discuss the electric properties of the medium around neurons, which are important to correctly interpret extracellular potentials or electric field ef…
Intracellular impedance measurements reveal non-ohmic properties of the extracellular medium around neurons
Jean-Marie Gomes, Claude Bedard, Silvana Valtcheva +6
The electrical properties of extracellular space around neurons are important to understand the genesis of extracellular potentials, as well as for localizing neuronal activity fro…
Generalized cable formalism to calculate the magnetic field of single neurons and neuronal populations
Claude Bedard, Alain Destexhe
Neurons generate magnetic fields which can be recorded with macroscopic techniques such as magneto-encephalography. The theory that accounts for the genesis of neuronal magnetic fi…
Generalized cable theory for neurons in complex and heterogeneous media
Claude Bedard, Alain Destexhe
Cable theory has been developed over the last decades, usually assuming that the extracellular space around membranes is a perfect resistor. However, extracellular media may displa…
A generalized theory for current-source density analysis in brain tissue
Claude Bedard, Alain Destexhe
The current-source density (CSD) analysis is a widely used method in brain electrophysiology, but this method rests on a series of assumptions, namely that the surrounding extracel…
Comparative power spectral analysis of simultaneous elecroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media
Nima Dehghani, Claude Bedard, Sydney S. Cash +2
The resistive or non-resistive nature of the extracellular space in the brain is still debated, and is an important issue for correctly modeling extracellular potentials. Here, we…