Using extracellular action potential recordings to constrain compartmental models

Journal of Computational Neuroscience
Carl GoldChristof Koch

Abstract

We investigate the use of extracellular action potential (EAP) recordings for biophysically faithful compartmental models. We ask whether constraining a model to fit the EAP is superior to matching the intracellular action potential (IAP). In agreement with previous studies, we find that the IAP method under-constrains the parameters. As a result, significantly different sets of parameters can have virtually identical IAP's. In contrast, the EAP method results in a much tighter constraint. We find that the distinguishing characteristics of the waveform--but not its amplitude-resulting from the distribution of active conductances are fairly invariant to changes of electrode position and detailed cellular morphology. Based on these results, we conclude that EAP recordings are an excellent source of data for the purpose of constraining compartmental models.

References

Oct 11, 2007·Journal of Computational Neuroscience·Klas H PettersenGaute T Einevoll
Jun 15, 2011·Journal of Computational Neuroscience·Ferenc Mechler, Jonathan D Victor
Mar 22, 2013·ACS Nano·A Paul AlivisatosXiaowei Zhuang
May 27, 2011·Journal of Neurophysiology·Ferenc MechlerQin Hu
Oct 2, 2009·Journal of Neurophysiology·Carl GoldChristof Koch
Mar 9, 2013·Neural Computation·Luis A Camuñas-Mesa, Rodrigo Quian Quiroga
Jul 23, 2013·PLoS Computational Biology·Szymon ŁęskiGaute T Einevoll
Aug 24, 2012·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Erik W SchomburgChristof Koch
Apr 25, 2014·Biological cybernetics·Chris KnowltonHenry D I Abarbanel
Jan 28, 2009·The Journal of Physiology·Naomi KerenAlon Korngreen
May 2, 2015·Brain Research Bulletin·Hernan Gonzalo ReyRodrigo Quian Quiroga
Mar 31, 2015·Neuroinformatics·Torbjørn V NessGaute T Einevoll
Sep 1, 2012·The European Journal of Neuroscience·Zoltán SomogyváriPéter Erdi
Jun 24, 2014·Journal of Neuroscience Methods·Isabel Delgado Ruz, Simon R Schultz
Sep 11, 2012·Journal of Neuroscience Methods·Palmi Thor ThorbergssonAnders J Johansson
May 24, 2015·Neural Networks : the Official Journal of the International Neural Network Society·Igor PalmieriMaria D Miranda
Oct 26, 2011·Current Opinion in Neurobiology·Gaute T EinevollKenneth D Harris
Sep 9, 2009·Current Opinion in Neurobiology·Edith ChorevMichael Brecht
Aug 8, 2014·Frontiers in Cellular Neuroscience·Haroon AnwarErik De Schutter
Jan 23, 2015·Frontiers in Neuroscience·Marie Engelene J ObienUrs Frey
Nov 12, 2016·Neuroinformatics·Helena GłąbskaDaniel K Wójcik
Oct 9, 2007·Biophysical Journal·Klas H Pettersen, Gaute T Einevoll
Feb 25, 2017·Scientific Reports·Sirenia Lizbeth Mondragón-González, Eric Burguière
Oct 11, 2017·ELife·Milos RadivojevicDouglas J Bakkum
May 31, 2018·Journal of Neurophysiology·Alessio Paolo BuccinoGaute T Einevoll
Jun 28, 2018·Journal of Neurophysiology·Martina MichalikovaRichard Kempter
Feb 1, 2019·Journal of Neural Engineering·Alessio Paolo BuccinoAslak Tveito
Aug 15, 2017·Nature Methods·Mark Shein-IdelsonGilles Laurent
Oct 19, 2013·Nature Reviews. Neuroscience·Gaute T EinevollStefano Panzeri
Apr 28, 2012·Journal of Neurophysiology·Jorge J RieraRyuta Kawashima
May 23, 2015·Journal of Neurophysiology·Costas A AnastassiouChristof Koch
Mar 11, 2020·PLoS Computational Biology·Jan-Eirik W SkaarGaute T Einevoll
Feb 22, 2020·Journal of Neurochemistry·Mohammad I K HamadEckart Förster
Aug 5, 2016·Journal of Neurophysiology·Agrita Dubey, Supratim Ray
Feb 13, 2015·Journal of Neurophysiology·R Greg StaceyThomas Quail
Jan 9, 2019·Frontiers in Neuroinformatics·Espen HagenGaute T Einevoll
Aug 28, 2009·Journal of Neurophysiology·Lilach AvitanMoshe Abeles
Jan 19, 2020·Journal of Computational Neuroscience·Harry TranValérie Louis-Dorr

Citations

Mar 1, 1969·Medical & Biological Engineering·R Plonsey
Dec 1, 1995·Neuron·Z F MainenTerrence J Sejnowski
Aug 15, 1997·Neural Computation·M L Hines, N T Carnevale
May 2, 1998·Journal of Neurophysiology·György Buzsáki, A Kandel
May 20, 1999·Journal of Computational Neuroscience·G R Holt, Christof Koch
Oct 9, 1999·Journal of Computational Neuroscience·M C Vanier, J M Bower
Apr 12, 2000·Journal of Neurophysiology·P VaronaO Herreras
Jul 19, 2000·Journal of Neurophysiology·Darrell A HenzeGyörgy Buzsáki
Aug 11, 2001·The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry·M L Hines, N T Carnevale
May 4, 2002·Nature Reviews. Neuroscience·Michele Migliore, Gordon M Shepherd
May 7, 2002·Nature Neuroscience·Costa M Colbert, Enhui Pan
Mar 1, 1962·Biophysical Journal·W RALL
Jul 2, 2004·Neural Computation·Rodrigo Quian QuirogaY Ben-Shaul
Aug 12, 2005·Journal of Neurophysiology·Naomi KerenAlon Korngreen
Feb 10, 2006·Journal of Neurophysiology·Carl GoldGyörgy Buzsáki
Apr 21, 2006·Journal of Neurophysiology·Quentin J M HuysLiam Paninski
Jun 29, 2006·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·C BédardA Destexhe
Oct 2, 2009·Journal of Neurophysiology·Carl GoldChristof Koch
Jun 1, 1947·Journal of Cellular Physiology·R LORENTE de NO

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Extracellular
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