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URL: https://github.com/Sakata-Lab/SaLSa
Proper Citation: SaLSa (RRID:SCR_026182)
Description: Software MATLAB package for analyzing and categorizing behaviors using pose estimation data. Integrates semi-automatic labeling with machine learning, specifically Long Short-Term Memory neural networks, to classify behavioral "syllables” (distinct, repeatable behaviors). Combinatory approach of semi-automatic labeling and long short-term memory to classify behavioral syllables.
Resource Type: software toolkit, source code, software resource
Defining Citation: PMID:37989587
Keywords: OpenBehavior, semi-automatic labeling, long short-term memory, classify behavioral syllables, behavior, pose estimation data,
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