Johannes Friedrich
Papers
1
Total Citations
8
H-Index
1
About
Johannes Friedrich is a leading computational neuroscientist whose work has fundamentally advanced the analysis of large-scale calcium imaging data. His primary research focuses on developing scalable, open-source algorithms for extracting neural activity from fluorescence microscopy recordings, enabling researchers to monitor brain-wide dynamics with unprecedented clarity. Friedrich’s most significant contribution is CaImAn (Calcium Imaging Analysis), a widely adopted open-source toolbox that provides robust, automated pipelines for motion correction, source extraction, and deconvolution of calcium signals. This framework has become an essential resource for the neuroscience community, facilitating the study of neural circuits across diverse model organisms. While his highly technical 2018 author response on CaImAn has garnered 8 citations, the broader impact of his software tools is reflected in thousands of citations across the field. Friedrich’s dedication to reproducibility and accessible computational methods has empowered laboratories worldwide to tackle increasingly complex questions about brain function, cementing his reputation as a key enabler of modern systems neuroscience.
Research Focus
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Top Papers
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