A. Strandburg-Peshkin

This study uses machine learning to analyze accelerometer data from spotted hyenas, revealing daily activity patterns influenced by social synchrony and individual behavior.

This paper provides a guide for using spectrogram-based dimensionality reduction to create latent space representations of animal vocalizations, demonstrating its application on meerkat calls.

This study examines how communal dens and daily movement patterns influence social interactions in spotted hyenas, revealing structured fission-fusion dynamics and social associations.