---
_id: '8075'
abstract:
- lang: eng
text: Ion channel models are the building blocks of computational neuron models.
Their biological fidelity is therefore crucial for the interpretation of simulations.
However, the number of published models, and the lack of standardization, make
the comparison of ion channel models with one another and with experimental data
difficult. Here, we present a framework for the automated large-scale classification
of ion channel models. Using annotated metadata and responses to a set of voltage-clamp
protocols, we assigned 2378 models of voltage- and calcium-gated ion channels
coded in NEURON to 211 clusters. The IonChannelGenealogy (ICGenealogy) web interface
provides an interactive resource for the categorization of new and existing models
and experimental recordings. It enables quantitative comparisons of simulated
and/or measured ion channel kinetics, and facilitates field-wide standardization
of experimentally-constrained modeling.
article_number: e22152
article_processing_charge: No
article_type: original
author:
- first_name: William F
full_name: Podlaski, William F
last_name: Podlaski
- first_name: Alexander
full_name: Seeholzer, Alexander
last_name: Seeholzer
- first_name: Lukas N
full_name: Groschner, Lukas N
last_name: Groschner
- first_name: Gero
full_name: Miesenböck, Gero
last_name: Miesenböck
- first_name: Rajnish
full_name: Ranjan, Rajnish
last_name: Ranjan
- first_name: Tim P
full_name: Vogels, Tim P
id: CB6FF8D2-008F-11EA-8E08-2637E6697425
last_name: Vogels
orcid: 0000-0003-3295-6181
citation:
ama: Podlaski WF, Seeholzer A, Groschner LN, Miesenböck G, Ranjan R, Vogels TP.
Mapping the function of neuronal ion channels in model and experiment. eLife.
2017;6. doi:10.7554/elife.22152
apa: Podlaski, W. F., Seeholzer, A., Groschner, L. N., Miesenböck, G., Ranjan, R.,
& Vogels, T. P. (2017). Mapping the function of neuronal ion channels in model
and experiment. ELife. eLife Sciences Publications, Ltd. https://doi.org/10.7554/elife.22152
chicago: Podlaski, William F, Alexander Seeholzer, Lukas N Groschner, Gero Miesenböck,
Rajnish Ranjan, and Tim P Vogels. “Mapping the Function of Neuronal Ion Channels
in Model and Experiment.” ELife. eLife Sciences Publications, Ltd, 2017.
https://doi.org/10.7554/elife.22152.
ieee: W. F. Podlaski, A. Seeholzer, L. N. Groschner, G. Miesenböck, R. Ranjan, and
T. P. Vogels, “Mapping the function of neuronal ion channels in model and experiment,”
eLife, vol. 6. eLife Sciences Publications, Ltd, 2017.
ista: Podlaski WF, Seeholzer A, Groschner LN, Miesenböck G, Ranjan R, Vogels TP.
2017. Mapping the function of neuronal ion channels in model and experiment. eLife.
6, e22152.
mla: Podlaski, William F., et al. “Mapping the Function of Neuronal Ion Channels
in Model and Experiment.” ELife, vol. 6, e22152, eLife Sciences Publications,
Ltd, 2017, doi:10.7554/elife.22152.
short: W.F. Podlaski, A. Seeholzer, L.N. Groschner, G. Miesenböck, R. Ranjan, T.P.
Vogels, ELife 6 (2017).
date_created: 2020-06-30T13:32:18Z
date_published: 2017-03-06T00:00:00Z
date_updated: 2021-01-12T08:16:46Z
day: '06'
ddc:
- '570'
doi: 10.7554/elife.22152
extern: '1'
external_id:
pmid:
- '28267430'
file:
- access_level: open_access
checksum: e5c5a33bcb3ac38ad62df1010ab29040
content_type: application/pdf
creator: cziletti
date_created: 2020-07-16T12:08:40Z
date_updated: 2020-07-16T12:08:40Z
file_id: '8124'
file_name: 2017_elife_Podlaski.pdf
file_size: 16034505
relation: main_file
success: 1
file_date_updated: 2020-07-16T12:08:40Z
has_accepted_license: '1'
intvolume: ' 6'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
publication: eLife
publication_identifier:
issn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications, Ltd
quality_controlled: '1'
status: public
title: Mapping the function of neuronal ion channels in model and experiment
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 6
year: '2017'
...