Year |
Citation |
Score |
2022 |
Bedard C, Piette C, Venance L, Destexhe A. Extracellular and intracellular components of the impedance of neural tissue. Biophysical Journal. PMID 35182541 DOI: 10.1016/j.bpj.2022.02.022 |
0.613 |
|
2018 |
Bédard C, Destexhe A. Kramers-Kronig Relations and the Properties of Conductivity and Permittivity in Heterogeneous Media Journal of Electromagnetic Analysis and Applications. 10: 34-51. DOI: 10.4236/Jemaa.2018.102003 |
0.566 |
|
2017 |
Bédard C, Destexhe A. Is the Extracellular Impedance High and Non-resistive in Cerebral Cortex? Biophysical Journal. 113: 1639-1642. PMID 28978454 DOI: 10.1016/J.Bpj.2017.08.021 |
0.535 |
|
2017 |
Bedard C, Gomes JM, Bal T, Destexhe A. A framework to reconcile frequency scaling measurements, from intracellular recordings, local-field potentials, up to EEG and MEG signals. Journal of Integrative Neuroscience. 16: 3-18. PMID 28891497 DOI: 10.3233/Jin-160001 |
0.651 |
|
2016 |
Gomes JM, Bédard C, Valtcheva S, Nelson M, Khokhlova V, Pouget P, Venance L, Bal T, Destexhe A. Intracellular Impedance Measurements Reveal Non-ohmic Properties of the Extracellular Medium around Neurons. Biophysical Journal. 110: 234-246. PMID 26745426 DOI: 10.1016/J.Bpj.2015.11.019 |
0.599 |
|
2014 |
Bedard C, Destexhe A. Generalized cable formalism to calculate the magnetic field of single neurons and neuronal populations. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 90: 042723. PMID 25375539 DOI: 10.1103/Physreve.90.042723 |
0.577 |
|
2014 |
Bédard C, Destexhe A. Mean-Field Formulation of Maxwell Equations to Model Electrically Inhomogeneous and Isotropic Media Journal of Electromagnetic Analysis and Applications. 6: 296-302. DOI: 10.4236/Jemaa.2014.610029 |
0.559 |
|
2014 |
Destexhe A, Barbieri F, Bedard C. Cable equation formalism for neuronal magnetic fields Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P215 |
0.574 |
|
2014 |
Bedard C, Gomes J, Nelson M, Pouget P, Valtcheva S, Venance L, Gioanni Y, Bal T, Destexhe A. Microscale impedance measurements suggest that ionic diffusion is implicated in generating extracellular potentials Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P214 |
0.603 |
|
2013 |
Bedard C, Destexhe A. Reply to Gratiy et al. Journal of Neurophysiology. 109: 1683. PMID 23503557 DOI: 10.1152/Jn.01095.2012 |
0.497 |
|
2013 |
Destexhe A, Bedard C. Local field potential Scholarpedia. 8: 10713. DOI: 10.4249/Scholarpedia.10713 |
0.509 |
|
2013 |
Bedard C, Destexhe A. The electric properties of extracellular media affect cable properties of neurons Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P106 |
0.569 |
|
2012 |
Destexhe A, Bedard C. Do neurons generate monopolar current sources? Journal of Neurophysiology. 108: 953-5. PMID 22572946 DOI: 10.1152/Jn.00357.2012 |
0.577 |
|
2011 |
Bazhenov M, Lonjers P, Skorheim S, Bedard C, Dstexhe A. Non-homogeneous extracellular resistivity affects the current-source density profiles of up-down state oscillations. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 369: 3802-19. PMID 21893529 DOI: 10.1098/Rsta.2011.0119 |
0.418 |
|
2010 |
Dehghani N, Bédard C, Cash SS, Halgren E, Destexhe A. Comparative power spectral analysis of simultaneous elecroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media. Journal of Computational Neuroscience. 29: 405-21. PMID 20697790 DOI: 10.1007/S10827-010-0263-2 |
0.686 |
|
2010 |
Bédard C, Rodrigues S, Roy N, Contreras D, Destexhe A. Evidence for frequency-dependent extracellular impedance from the transfer function between extracellular and intracellular potentials: intracellular-LFP transfer function. Journal of Computational Neuroscience. 29: 389-403. PMID 20559865 DOI: 10.1007/S10827-010-0250-7 |
0.56 |
|
2010 |
Dehghani N, Bédard C, Cash SS, Halgren E, Destexhe A. Comparative power spectral analysis of simultaneous electroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media : EEG and MEG power spectra. Journal of Computational Neuroscience. PMID 20556640 DOI: 10.1007/S10827-010-0252-5 |
0.685 |
|
Show low-probability matches. |