MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. - Jorge Quesada; Lakshmi Sathidevi; Ran Liu; Nauman Ahad; Joy M. Jackson; Mehdi Azabou; Jingyun Xiao; Christopher Liding; Matthew Jin; Carolina Urzay; William R. Gray Roncal; Erik C. Johnson; et al. (NeurIPS, 2022)

Learning Behavior Representations Through Multi-Timescale Bootstrapping. - Mehdi Azabou; Michael Mendelson; Maks Sorokin; Shantanu Thakoor; Nauman Ahad; Carolina Urzay; Eva L. Dyer (CoRR, 2022)

Detecting change points in neural population activity with contrastive metric learning. - Carolina Urzay; Nauman Ahad; Mehdi Azabou; Aidan Schneider; Geethika Atamkuri; Keith B. Hengen; Eva L. Dyer (NER, 2023)

Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis. - Mehdi Azabou; Michael Mendelson; Nauman Ahad; Maks Sorokin; Shantanu Thakoor; Carolina Urzay; Eva L. Dyer (NeurIPS, 2023)