Neurodatascience: Past, Present, and Future.

Overview

1. Department of Neurobiology and Behavior, University of California, Irvine, Irvine, California, USA
2. Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, California, USA
3. Department of Statistics, University of California, Irvine, California, USA

Abstract

The study of the brain is a compelling example of the power of convergent science. Over the last few decades, advances in neuroscience techniques and experimentation, as well as in data science tools to analyze the resulting data, have dramatically furthered our understanding of fundamental brain functions. Historically, it has been common for analytical approaches to have a considerable lag in development following the availability of new neuroscience techniques. However, this relationship has not simply been unidirectional, as there have been examples in which analytical developments have directly led to new scientific questions and experiments. Here we review how this interplay between neuroscience and data science advances has unfolded in the past and into the present, with a focus on electrophysiology and calcium imaging. Applying lessons learned from the past and present, we then discuss expected developments, challenges, and opportunities in the future. We end by providing recommendations on how to foster the necessary team science approach to continue the advancement of research at the intersection of neuroscience and data science, which we call neurodatascience, toward a sustainable future.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

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• crcns.org/files/data, at CRCNS; found in the references

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 8 keywords, 3 funders, 287 references.

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This paper

Cooper, K. W., Shahbaba, B., & Fortin, N. J. (2026). Neurodatascience: Past, Present, and Future. Data science in science, 5(1), 2619222. https://doi.org/10.1080/26941899.2026.2619222

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