The data science future of neuroscience theory

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

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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

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