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Python package to reconstruct and analyse delay functional networks from time series. It provides tools for data preparation and detrending, multiple connectivity measures (e.g. Granger causality, transfer entropy, correlations), optimal-lag network reconstruction, and network analysis.
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Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.
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Python package automatizing the following tasks: (1) create directories, (2) select self-explainatory filenames, (3) save data on the first function call and (4) load previously computed results from disk to avoid redundant computation.
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Presentation slides to introduce infomeasure.
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