Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings

Dorottya Cserpán, Domokos Meszéna, L. Wittner, Kinga Tóth, I. Ulbert, Zoltán Somogyvári, Daniel K. Wójcik

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Article numbere29384
JournaleLife
Volume6
DOIs
Publication statusPublished - Nov 17 2017

Fingerprint

Neurons
Rats
Membranes
Electrodes
Hippocampus
In Vitro Techniques

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)

Cite this

Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings. / Cserpán, Dorottya; Meszéna, Domokos; Wittner, L.; Tóth, Kinga; Ulbert, I.; Somogyvári, Zoltán; Wójcik, Daniel K.

In: eLife, Vol. 6, e29384, 17.11.2017.

Research output: Contribution to journalArticle

Cserpán, Dorottya ; Meszéna, Domokos ; Wittner, L. ; Tóth, Kinga ; Ulbert, I. ; Somogyvári, Zoltán ; Wójcik, Daniel K. / Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings. In: eLife. 2017 ; Vol. 6.
@article{ac17371a08a24576a883ff853b4b13ec,
title = "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.",
author = "Dorottya Cserp{\'a}n and Domokos Mesz{\'e}na and L. Wittner and Kinga T{\'o}th and I. Ulbert and Zolt{\'a}n Somogyv{\'a}ri and W{\'o}jcik, {Daniel K.}",
year = "2017",
month = "11",
day = "17",
doi = "10.7554/eLife.29384",
language = "English",
volume = "6",
journal = "eLife",
issn = "2050-084X",
publisher = "eLife Sciences Publications",

}

TY - JOUR

T1 - Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings

AU - Cserpán, Dorottya

AU - Meszéna, Domokos

AU - Wittner, L.

AU - Tóth, Kinga

AU - Ulbert, I.

AU - Somogyvári, Zoltán

AU - Wójcik, Daniel K.

PY - 2017/11/17

Y1 - 2017/11/17

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85041030147&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041030147&partnerID=8YFLogxK

U2 - 10.7554/eLife.29384

DO - 10.7554/eLife.29384

M3 - Article

VL - 6

JO - eLife

JF - eLife

SN - 2050-084X

M1 - e29384

ER -