Hierarchical Event Descriptors (aka HED) is an open standard for describing experimental events, conditions, and experiment organization in a format that is both human- and machine-readable to enable analysis, re-analysis, and meta/mega-analysis. Its goal is to annotate participant experience and behavior as well as the environmental influence during an experiment. Thus, HED is relevant to all neuroimaging modalities as well as behavioral experiments and MOBI experiments (motion capture, eye-tracking etc.).
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