Huberman Lab from Scicomm Media

Huberman Lab discusses neuroscience — how our brain and its connections with the organs of our body control our perceptions, our behaviors, and our health. We also discuss existing and emerging tools for measuring and changing how our nervous system works. Andrew Huberman, Ph.D., is a neuroscientist and tenured professor in the department of neurobiology, and by courtesy, psychiatry and behavioral sciences at Stanford School of Medicine. He 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.  Huberman 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. His lab’s most recent work focuses on the influence of vision and respiration on human performance and brain states such as fear and courage. He also works on neural regeneration and directs a clinical trial to promote visual restoration in diseases that cause blindness. Huberman is also actively involved in developing tools now in use by the elite military in the U.S. and Canada, athletes, and technology industries to optimize performance in high stress environments, enhance neural plasticity, mitigate stress and optimize sleep.   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 5 of all podcasts globally and is often ranked #1 in the categories of Science, Education, and Health & Fitness.

Monetization signals

Technical details

Publishing trends

Episode duration

Podcast X-Ray is a simple and free research tool from the podcast growth agency Bumper. We surface hidden podcast data and insights for more than 2.5 million shows.

Cache: This page was last updated 7 days ago

Copyright Information: The podcast, artwork and data presented on this page is compiled from the podcast’s public RSS feed and other publicly available sources. All assets pertaining to this podcast are the property of its owner and are in no way affiliated with or endorsed by Podcast X-Ray or Bumper.