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Machine Learning Street Talk (MLST)
DR. JEFF BECK - THE BAYESIAN BRAIN
Oct 16, 2023
Dr. Jeff Beck, a computational neuroscientist, dives into the fascinating world of probabilistic reasoning in both humans and animals. He discusses the Bayesian brain hypothesis and its impact on understanding decision-making under uncertainty. Active inference takes center stage as Beck explains how agents interact with their environments. The conversation also explores the philosophy behind consciousness, the integration of cognition in ecosystems, and innovations in Bayesian multi-agent systems. Expect a thought-provoking journey blending science and philosophy!
01:10:06
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Quick takeaways
- Bayesian analysis is a normative and logical approach to empirical investigation.
- Active inference involves building dynamic models in real-time for optimal experimental design and dynamic updating.
Deep dives
Modeling Humans and Animal Behaviors as Bayesian Inference
The podcast episode explores the work of computational neuroscientist Jeff Beck, who studies how human and animal behaviors can be modeled as Bayesian inference. They are interested in how the brain encodes probability distributions and performs probabilistic reasoning.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode