
The data science future of neuroscience theory
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An approach for integrating the wealth of heterogeneous brain data — from gene expression and neurotransmitter receptor density to structure and function — allows neuroscientists to easily
place their data within the broader neuroscientific context. Access through your institution Buy or subscribe This is a preview of subscription content, access via your institution RELEVANT
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* Learn about institutional subscriptions * Read our FAQs * Contact customer support REFERENCES * Markello, R. D. et al. _Nat. Methods_ https://doi.org/10.1038/s41592-022-01625-w (2022).
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Article PubMed PubMed Central Google Scholar Download references ACKNOWLEDGEMENTS B.V. is supported by National Institute of General Medical Sciences grant R01GM134363. AUTHOR
INFORMATION AUTHORS AND AFFILIATIONS * Department of Cognitive Science, Halıcıoğlu Data Science Institute, Neurosciences Graduate Program, and Kavli Institute for Brain and Mind, University
of California, San Diego, La Jolla, CA, USA Bradley Voytek Authors * Bradley Voytek View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR
Correspondence to Bradley Voytek. ETHICS DECLARATIONS COMPETING INTERESTS The author declares no competing interests. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE
THIS ARTICLE Voytek, B. The data science future of neuroscience theory. _Nat Methods_ 19, 1349–1350 (2022). https://doi.org/10.1038/s41592-022-01630-z Download citation * Published: 06
October 2022 * Issue Date: November 2022 * DOI: https://doi.org/10.1038/s41592-022-01630-z SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get
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