bioRxiv preprint doi: https://doi.org/10.1101/2020.09.01.278879; this version posted September 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. The Neuron Phenotype Ontology: A FAIR Approach to Proposing and Classifying Neuronal Types Thomas H. Gillespie 1 (https://orcid.org/0000-0002-7509-4801) Shreejoy Tripathy2,3 (https://orcid.org/0000-0002-1007-9061) Mohameth François Sy (https://orcid.org/0000-0002-4603-9838) Maryann E. Martone 1, (https://orcid.org/0000-0002-8406-3871) Sean L. Hill2,3,4 (https://orcid.org/0000-0001-8055-860X) 1Department of Neuroscience, University of California, San Diego 2Department of Psychiatry, University of Toronto 3Krembil Center for Neuroinformatics, Centre for Addiction and Mental Health: Toronto 4Blue Brain Project, École polytechnique fédérale de Lausanne (EPFL), Campus Biotech, 1202 Geneva, Switzerland Corresponding Author: Sean Hill, Ph.D.,
[email protected] Blue Brain Project Campus Biotech, EPFL chemin des Mines, 9 Geneva, Switzerland CH-1202 Acknowledgements: This work was supported by NIH Brain Initiative award 5U24MH114827-04, a Canadian Institute for Health Research post-doctoral fellowship and National Institutes of Health grant MH111099, the Krembil Foundation, and by funding to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL), from the Swiss government’s ETH Board of the Swiss Federal Institutes of Technology . Meetings supporting this work were facilitated by the International Neuroinformatics Coordinating Facility (INCF) through the Neuroinformatics for cell types special interest group.