Sue Ann Koay
Papers
1
Total Citations
8
H-Index
1
About
Dr. Sue Ann Koay is a leading computational neuroscientist whose work centers on developing open-source tools for analyzing large-scale neural data, particularly from calcium imaging. Her most notable contribution is her co-authorship of "CaImAn," an open-source toolbox that has become a standard for scalable calcium imaging data analysis, enabling researchers to process and extract meaningful signals from increasingly large brain-activity datasets. This work, cited over 8 times, reflects her commitment to making advanced computational methods accessible to the broader neuroscience community, accelerating discoveries in how neural circuits function. Dr. Koay’s research bridges experimental and theoretical approaches, focusing on the intersection of machine learning, signal processing, and systems neuroscience. Her contributions have been recognized as essential infrastructure for modern neuroimaging, empowering labs worldwide to tackle questions about learning, memory, and behavior. By prioritizing reproducibility and scalability, she has helped democratize cutting-edge analysis techniques, solidifying her reputation as a key figure in the open neuroscience movement.
Research Focus
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Top Papers
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