Super Data Science: ML & AI Podcast with Jon Krohn 829: Neuroscience Fueled by ML, with Prof. Bradley Voytek
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Oct 22, 2024 In this engaging conversation, neurosurgeon Bradley Voytek, a professor at UC San Diego and former data scientist at Uber, explores the fascinating intersection of neuroscience and machine learning. He shares recent breakthroughs in brain communication and the potential of brain rhythms as diagnostic tools. The discussion also highlights essential skills for aspiring data scientists, the impact of collaborative research in neuroscience, and insights from his time developing algorithms at Uber as a startup. It's a captivating look at the future of both fields.
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Non-Binary Neurons
- Neurons don't use binary signals, overturning a century of neuroscience.
- This discovery suggests exploring analog codes and biologically inspired activation functions for AI.
Oversimplification in Neuroscience
- Physiologists knew action potentials weren't binary, but computational neuroscientists simplified them.
- This simplification has potentially misled the field, highlighting the importance of interdisciplinary communication.
Neuroscience's Vastness
- Jon Krohn and Bradley Voytek both initially aimed to read the entire "Principles of Neuroscience" textbook.
- They realized neuroscience's vastness, highlighting the importance of specialization and collaboration.