How to Improve at Learning Using Neuroscience & AI | Dr. Terry Sejnowski

In this episode of the Huberman Lab podcast, Dr. Terry Sejnowski, a computational neuroscientist, delves into the workings of the brain and shares practical strategies for enhancing learning and tackling motivational hurdles. Central to the discussion is the "value function" algorithm, a straightforward predictor of reward that influences all motivated behaviors, from mastering motor skills to navigating social situations. Dr. Sejnowski underscores the significance of both cognitive and procedural learning and recommends a free online course, "Learning How to Learn," to boost learning techniques. He also highlights the vital roles of exercise and mitochondrial health in supporting brain function and potentially addressing neurological conditions like Alzheimer's and Parkinson's. Additionally, the conversation touches on how psychedelics can affect brain connectivity and the transformative potential of AI in advancing scientific research and predictions.