Huberman Lab

The Huberman Lab podcast is hosted by Andrew Huberman, Ph.D., a neuroscientist and tenured professor in the department of neurobiology, and by courtesy, psychiatry and behavioral sciences at Stanford School of Medicine. The podcast discusses neuroscience and science-based tools, including how our brain and its connections with the organs of our body control our perceptions, our behaviors, and our health, as well as existing and emerging tools for measuring and changing how our nervous system works. Huberman has made numerous significant contributions to the fields of brain development, brain function, and neural plasticity, which is the ability of our nervous system to rewire and learn new behaviors, skills, and cognitive functioning. He is a McKnight Foundation and Pew Foundation Fellow and was awarded the Cogan Award, given to the scientist making the most significant discoveries in the study of vision, in 2017.  Work from the Huberman Laboratory at Stanford School of Medicine has been published in top journals, including Nature, Science, and Cell, and has been featured in TIME, BBC, Scientific American, Discover, and other top media outlets. In 2021, Dr. Huberman launched the Huberman Lab podcast. The podcast is frequently ranked in the top 10 of all podcasts globally and is often ranked #1 in the categories of Science, Education, and Health & Fitness.

How to Lose Fat With Science-Based Tools

This episode I describe the science of fat loss, including how fat is mobilized and oxidized (burned) and how to increase fat burning by leveraging the nervous system. Most people don't realize it,

How to Learn Skills Faster

This episode I discuss the science and practice of learning physical skills: what it involves at a biological level, and what to focus on during skill learning at each stage to maximize learning

Nutrients for Brain Health & Performance

This episode I describe science-supported nutrients for brain and performance (cognition) and for nervous system health generally. I describe 10 tools for this purpose, including specific amounts and