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

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