BI 189 Joshua Vogelstein: Connectomes and Prospective Learning

Summary

In this episode Joshua Vogelstein discusses two core themes: the creation of the world’s largest whole‑brain connectome for the fruit fly and his team’s concept of prospective learning, which contrasts with the dominant retrospective learning in AI. He explains how the detailed connectome can serve as a foundational map for neuroscience research and inspire new computational models, while prospective learning aims to enable AI systems to anticipate future states rather than merely react to past data. Vogelstein’s approach is deeply rooted in mathematical formalism, seeking to bridge neuroscience and artificial intelligence to better understand and replicate intelligent behavior.