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EDITORIAL article

Front. Comput. Neurosci.
Volume 18 - 2024 | doi: 10.3389/fncom.2024.1537106
This article is part of the Research Topic Advances in computer science and their impact on data acquisition and analysis in neuroscience View all 6 articles

Editorial: Advances in computer science and their impact on data acquisition and analysis in neuroscience

Provisionally accepted
Peter Koulen Peter Koulen 1*Amirfarhang Mehdizadeh Amirfarhang Mehdizadeh 1Mei-Ling Shyu Mei-Ling Shyu 1Chengcui Zhang Chengcui Zhang 2Shu-Ching Chen Shu-Ching Chen 1
  • 1 University of Missouri–Kansas City, Kansas City, United States
  • 2 Department of Computer Science, College of Arts and Sciences, University of Alabama at Birmingham, Birmingham, Alabama, United States

The final, formatted version of the article will be published soon.

    Unlike other fields of biology, neuroscience and the study of the nervous system across a range of 19 species were characterized early on by the need for the analysis of highly complex data sets. In seminal 20 areas of neuroscience, such as electrophysiology, neuroimaging, and neurophysiology, progress in both 21 data acquisition and data analysis was limited by the capabilities of hardware and software solutions 22 available to researchers. At the same time, critical advances in computer science and software 23 engineering not only led to fundamentally important new discoveries in neuroscience but were often 24 also driven by challenges resulting from paradigm-shifting discoveries in neuroscience, such as the In summary, the Frontiers Research Topic on Advances in computer science and their impact on 89 data acquisition and analysis in neuroscience, provides novel contributions exemplifying how 90 interdisciplinary work in computer science and neuroscience can synergistically improve data analysis 91 in a wide range of scientific and medical utilities increasing both scientific knowledge and the value of 92 tools in clinical diagnostics, prognostics, and therapeutics, altogether reducing the socio-economic 93 burden of disease conditions affecting the nervous system. 94 95

    Keywords: artificial intelligence, Biology, diagnostics, machine learning, Nervous System, Neuroscience, Neurology, Therapeutics - Other

    Received: 30 Nov 2024; Accepted: 13 Dec 2024.

    Copyright: © 2024 Koulen, Mehdizadeh, Shyu, Zhang and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Peter Koulen, University of Missouri–Kansas City, Kansas City, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.