A modular architecture for organizing, processing and sharing neurophysiology 
data

International Brain Laboratory,; Bonacchi, N; Chapuis, GA; Churchland, AK; DeWitt, EEJ; Faulkner, M; Harris, KD; Huntenburg, JM; Hunter, M; Laranjeira, IC; Rossant, C; Sasaki, M; Schartner, MM; Shen, S; Steinmetz, NA; Walker, EY; West, SJ; Winter, O; Wells, MJ

doi:10.1038/s41592-022-01742-6

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A modular architecture for organizing, processing and sharing neurophysiology data

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Huntenburg, JM
Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://www.nature.com/articles/s41592-022-01742-6.pdf
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Citation

International Brain Laboratory, Bonacchi, N., Chapuis, G., Churchland, A., DeWitt, E., Faulkner, M., et al. (2023). A modular architecture for organizing, processing and sharing neurophysiology data. Nature Methods, 20(3), 403-407. doi:10.1038/s41592-022-01742-6.

Cite as: https://hdl.handle.net/21.11116/0000-000C-B3BC-6

Abstract

We describe an architecture for organizing, integrating and sharing neurophysiology data within a single laboratory or across a group of collaborators. It comprises a database linking data files to metadata and electronic laboratory notes; a module collecting data from multiple laboratories into one location; a protocol for searching and sharing data and a module for automatic analyses that populates a website. These modules can be used together or individually, by single laboratories or worldwide collaborations.