--- _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' ...