A parameter-free statistical test for neuronal responsiveness

Neurophysiological studies depend on a reliable quantification of whether and when a neuron responds to stimulation. Simple methods to determine responsiveness require arbitrary parameter choices, such as binning size, while more advanced model-based methods require fitting and hyperparameter tuning...

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Autores principales:	Jorrit S Montijn, Koen Seignette, Marcus H Howlett, J Leonie Cazemier, Maarten Kamermans, Christiaan N Levelt, J Alexander Heimel
Formato:	article
Lenguaje:	EN
Publicado:	eLife Sciences Publications Ltd 2021
Materias:	neural data analysis statistics responsiveness response latency visual cortex VIP disinhibition Medicine R Science Q Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/c4b866b867184fd79770fad1efac369e
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id	oai:doaj.org-article:c4b866b867184fd79770fad1efac369e
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spelling	oai:doaj.org-article:c4b866b867184fd79770fad1efac369e2021-11-30T16:19:26ZA parameter-free statistical test for neuronal responsiveness10.7554/eLife.719692050-084Xe71969https://doaj.org/article/c4b866b867184fd79770fad1efac369e2021-09-01T00:00:00Zhttps://elifesciences.org/articles/71969https://doaj.org/toc/2050-084XNeurophysiological studies depend on a reliable quantification of whether and when a neuron responds to stimulation. Simple methods to determine responsiveness require arbitrary parameter choices, such as binning size, while more advanced model-based methods require fitting and hyperparameter tuning. These parameter choices can change the results, which invites bad statistical practice and reduces the replicability. New recording techniques that yield increasingly large numbers of cells would benefit from a test for cell-inclusion that requires no manual curation. Here, we present the parameter-free ZETA-test, which outperforms t-tests, ANOVAs, and renewal-process-based methods by including more cells at a similar false-positive rate. We show that our procedure works across brain regions and recording techniques, including calcium imaging and Neuropixels data. Furthermore, in illustration of the method, we show in mouse visual cortex that (1) visuomotor-mismatch and spatial location are encoded by different neuronal subpopulations and (2) optogenetic stimulation of VIP cells leads to early inhibition and subsequent disinhibition.Jorrit S MontijnKoen SeignetteMarcus H HowlettJ Leonie CazemierMaarten KamermansChristiaan N LeveltJ Alexander HeimeleLife Sciences Publications Ltdarticleneural data analysisstatisticsresponsivenessresponse latencyvisual cortexVIP disinhibitionMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	neural data analysis statistics responsiveness response latency visual cortex VIP disinhibition Medicine R Science Q Biology (General) QH301-705.5
spellingShingle	neural data analysis statistics responsiveness response latency visual cortex VIP disinhibition Medicine R Science Q Biology (General) QH301-705.5 Jorrit S Montijn Koen Seignette Marcus H Howlett J Leonie Cazemier Maarten Kamermans Christiaan N Levelt J Alexander Heimel A parameter-free statistical test for neuronal responsiveness
description	Neurophysiological studies depend on a reliable quantification of whether and when a neuron responds to stimulation. Simple methods to determine responsiveness require arbitrary parameter choices, such as binning size, while more advanced model-based methods require fitting and hyperparameter tuning. These parameter choices can change the results, which invites bad statistical practice and reduces the replicability. New recording techniques that yield increasingly large numbers of cells would benefit from a test for cell-inclusion that requires no manual curation. Here, we present the parameter-free ZETA-test, which outperforms t-tests, ANOVAs, and renewal-process-based methods by including more cells at a similar false-positive rate. We show that our procedure works across brain regions and recording techniques, including calcium imaging and Neuropixels data. Furthermore, in illustration of the method, we show in mouse visual cortex that (1) visuomotor-mismatch and spatial location are encoded by different neuronal subpopulations and (2) optogenetic stimulation of VIP cells leads to early inhibition and subsequent disinhibition.
format	article
author	Jorrit S Montijn Koen Seignette Marcus H Howlett J Leonie Cazemier Maarten Kamermans Christiaan N Levelt J Alexander Heimel
author_facet	Jorrit S Montijn Koen Seignette Marcus H Howlett J Leonie Cazemier Maarten Kamermans Christiaan N Levelt J Alexander Heimel
author_sort	Jorrit S Montijn
title	A parameter-free statistical test for neuronal responsiveness
title_short	A parameter-free statistical test for neuronal responsiveness
title_full	A parameter-free statistical test for neuronal responsiveness
title_fullStr	A parameter-free statistical test for neuronal responsiveness
title_full_unstemmed	A parameter-free statistical test for neuronal responsiveness
title_sort	parameter-free statistical test for neuronal responsiveness
publisher	eLife Sciences Publications Ltd
publishDate	2021
url	https://doaj.org/article/c4b866b867184fd79770fad1efac369e
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A parameter-free statistical test for neuronal responsiveness

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