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Explore how deep learning revolutionizes behavioral quantification in neuroscience through this 22-minute webinar presented by Dr. Talmo Pereira, Principal Investigator at the Salk Institute. Learn about the core challenge of understanding how the brain orchestrates complex movements and behaviors, and discover how advances in computer vision and deep learning overcome traditional limitations in behavioral analysis. Examine the problem of pose tracking for behavioral quantification and understand how deep learning enables markerless motion capture across species and experimental settings. Discover the open-source SLEAP tool (sleap.ai) and its applications spanning social and motor neuroscience in flies, rodents, and primates, as well as broader domains including ecology, digital humanities, and plant biology for climate change research. Review preliminary results from large-scale home cage phenotyping projects designed to detect early disease markers. Gain insights into how these computational methods enable precise, automated quantification of naturalistic behaviors that were previously technically intractable or prohibitively laborious to study. The presentation includes opportunities to earn PACE credits through Labroots' continuing education program.
