Brain Inspired BI 189 Joshua Vogelstein: Connectomes and Prospective Learning
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Jun 29, 2024 
Joshua Vogelstein discusses the world's largest connectome, focusing on a fruit fly's brain. He explains the concept of prospective learning in AI compared to retrospective learning, highlighting its potential. The podcast covers audio/video sync issues, data cleaning challenges, and the importance of anatomy in understanding brain function.
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Wonder Drives Mathematical Insight
- Joshua Vogelstein starts with wonder about how living beings think and learn. - He uses mathematics and AI as tools to formally describe decision-making under uncertainty in complex environments.
Bilateral Symmetry as Internal Control
- The fruit fly connectome data was initially messy and inconsistent, requiring repeated corrections. - Comparing the left and right brain hemispheres served as an internal control improving accuracy.
Connectome as a Theory Constraint
- A connectome is a resource that constrains theories by showing which neural connections do or don't exist. - Researchers use it to design more precise experiments and models based on real anatomical data.