Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings
Abstract
Revealing the current source distribution along the neuronal membrane is a key step on the way to understanding neural computations, however, the experimental and theoretical tools to achieve sufficient spatiotemporal resolution for the estimation remain to be established. Here we address this problem using extracellularly recorded potentials with arbitrarily distributed electrodes for a neuron of known morphology. We use simulations of models with varying complexity to validate the proposed method and to give recommendations for experimental applications. The method is applied to in vitro data from rat hippocampus.
Data availability
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Neuron morphology Badea2011Fig2DuPublicly available at NeuroMorpho.Org (ID : NMO_10743).
Article and author information
Author details
Funding
Ministerstwo Nauki i Szkolnictwa Wyższego (Grant 2729/7.PR/2013/2)
- Daniel K Wojcik
Nemzeti Kutatási, Fejlesztesi és Innovacios Hivatal (Grant K 113147)
- Zoltán Somogyvári
Nemzeti Agykutatasi Program (Grant KTIA NAP 13-1-2013-0001)
- István Ulbert
Nemzeti Kutatasi, Fejilesztesi es Innovacios Hivatal (Grant NN 118902)
- Zoltán Somogyvári
Nemzeti Agykutatasi Program (Grant KTIA-13-NAP-A-IV/1 2 3 4 6)
- István Ulbert
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Frances K Skinner, Krembil Research Institute, University Health Network, Canada
Ethics
Animal experimentation: The in vitro experiment was performed according to the EC Council Directive of November 24, 1986 (86/89/EEC) and all procedures were reviewed and approved by the local ethical committee and the Hungarian Central Government Office (license number: PEI/001/695-9/2015).
Version history
- Received: June 7, 2017
- Accepted: November 16, 2017
- Accepted Manuscript published: November 17, 2017 (version 1)
- Version of Record published: December 5, 2017 (version 2)
- Version of Record updated: December 5, 2017 (version 3)
- Version of Record updated: February 20, 2018 (version 4)
Copyright
© 2017, Cserpán et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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