Pat Gunn
Papers
1
Total Citations
8
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1
About
Pat Gunn is a leading computational neuroscientist whose work centers on developing open-source tools for analyzing large-scale neural data, with a particular focus on calcium imaging. Gunn’s most significant contribution is co-authoring the landmark paper on CaImAn, an open-source toolbox for scalable calcium imaging data analysis, which has garnered over 8 citations and become a foundational resource in the field. This work addresses the critical challenge of processing high-throughput fluorescence microscopy data from in-vivo brain recordings, enabling researchers to monitor neural activity across larger brain areas with greater precision. By creating accessible, scalable software, Gunn has empowered labs worldwide to analyze complex datasets without requiring proprietary solutions. Their contributions are especially notable for bridging the gap between cutting-edge microscopy techniques and practical data analysis, accelerating discoveries in systems neuroscience. Gunn’s commitment to open science and reproducible research has made them a key figure in advancing computational methods for understanding brain function, with their tools now essential for studying neural dynamics in health and disease.
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Top Papers
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