Data-driven burst shape analysis for functional phenotyping of neuronal cultures
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Abstract
First release of the burst-shape analysis pipeline accompanying: Schäfer et al. (2025), "Data-driven burst shape analysis for functional phenotyping of neuronal cultures", bioRxiv. https://doi.org/10.1101/2025.09.29.679256 Contents: burst detection, average burst shapes, data-driven burst shape features (spectral embedding), and XGBoost classification. See the README for installation (uv), notebooks/tutorial.ipynb for an end-to-end walkthrough on the blocked-inhibition-dataset.
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Authors: Tim Schäfer, Emmanouil Giannakakis, Paul Schmidt-Barbo, Anna Levina, Oleg Vinogradov