Identifying behavioral structure from deep variational embeddings of animal motion

HIGHLIGHTS

• who: Kevin Luxem from the Leibniz Institute(DZNE), Bonn, GermanyUniversity of have published the Article: Identifying behavioral structure from deep variational embeddings of animal motion, in the Journal: (JOURNAL)
• what: The need for unsupervised behavioral quantification methods has been recently recognized and innovative approaches in this direction have been introduced7 11 12. The authors demonstrate the capability of VAME to identify the motif structure the hierarchical connection of motifs and their transitions in a use case of Alzheimer transgenic mice27. The authors compare VAME to current state-of-the-art methods7 11 on a benchmark . . .
  

   

  

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