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catch22: CAnonical Time-series CHaracteristics - Selected through highly comparative time-series analysis., , , , , and . Data Min. Knowl. Discov., 33 (6): 1821-1852 (2019)Nonlinear reconfiguration of network edges, topology and information content during an artificial learning task., , , , and . Brain Informatics, 8 (1): 26 (2021)A practical guide to linking brain-wide gene expression and neuroimaging data., , and . NeuroImage, (2019)Unifying Pairwise Interactions in Complex Dynamics., , , and . CoRR, (2022)Hub connectivity, neuronal diversity, and gene expression in the Caenorhabditis elegans connectome., , , and . PLoS Comput. Biol., (2018)CompEngine: a self-organizing, living library of time-series data., , , and . CoRR, (2019)Where the genome meets the connectome: Understanding how genes shape human brain connectivity., , , and . NeuroImage, (2021)An Empirical Evaluation of Time-Series Feature Sets., and . ICDM (Workshops), page 1032-1038. IEEE, (2021)Exact Inference of Linear Dependence Between Multiple Autocorrelated Time Series., , , , and . CoRR, (2020)A Virtual Reality Educational Game for the Ethics of Cultural Heritage Repatriation., and . Games Cult., 18 (6): 759-782 (September 2023)