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Cerebellum cell type collaboration database

dataset
posted on 2025-01-28, 09:29 authored by Maxime Beau, David Herzfeld, Francisco Naveros, Marie Hemelt, Federico D'Agostino, Marlies Oostland, Alvaro Sánchez-López, Young Yoon Chung, Michael Maibach, Stephen Kyranakis, Hannah N. Stabb, Gabriela Martínez Lopera, Agoston Lajko, Marie Zedler, Shogo Ohmae, Nathan Hall, Beverley ClarkBeverley Clark, Dana Cohen, Stephen Lisberger, Dimitar Kostadinov, Court Hull, Michael HausserMichael Hausser, Javier Medina

The C4 Database

This is the official repository for the hdf5 datasets of the cerebellar cell-type classification collaboration (C4), published as a companion to the paper "A deep-learning strategy to identify cell types across species from high-density extracellular recordings" published in Cell (https://doi.org/10.1016/j.cell.2025.01.041).

Instructions to use the cell-type classifier, links to download these datasets, and a data explorer can be found at https://www.c4-database.com.

The specifications of the fields, data types and data formats stored in the hdf5 binary files can be found at https://www.tinyurl.com/c4database. Hdf5 files can be easily opened with Python, MATLAB and many other programming languages.

Using and Citing the C4 Database

The data and visualizations on this website are intended to be freely available for use by the scientific community. The C4 dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, while our classifier is licensed under the GNU General Public License v3.0 as part of NeuroPyxels. If you download and use our data for a publication, and/or if you would like to refer to the database, please cite Beau et al., 2025, Cell together with the NeuroPyxels repository (Beau et al., 2021, Zenodo), and include the link to the C4 online portal https://www.c4-database.com in your methods section. Thank you!

Funding

Canonical circuits for cerebellar learning

Wellcome Trust

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The functional architecture of cerebellar computation

Wellcome Trust

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Organization and dynamics of multiregional circuits for goal-directed behaviour

Wellcome Trust

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EMBO ALTF 914-2015

The neuroscience of tickling: cerebellar mechanisms and sensory prediction

European Commission

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NEUro cerebellar recurrent network for motor SEQuence learning in neuroroBOTics

European Commission

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A SYnaptically connected brain-silicon Neural Closed-loop Hybrid system

European Commission

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R01-NS112917

K99-EY030528

R01-NS092623

R01-MH093727

The origins of dendritic computation within mammalian neural circuits

European Research Council

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