2024-11-18
2 小时 34 分钟Welcome to the Huberman Lab podcast where we discuss science and science based tools for everyday life.
I'm Andrew Huberman and I'm a professor of neurobiology and Ophthalmology at Stanford School of Medicine.
My guest today is Dr.
Terry Sagnowski.
Dr.
Terry Signowski is a professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory.
And as his title suggests, he is a computational neuroscientist.
That is, he uses math as well as artificial intelligence and computing methods to understand this overarching, ultra important question of how the brain works.
Now, I realize that when people hear terms like computational neuroscience, algorithms, large language models and AI that it can be a bit overwhelming and even intimidating.
But I assure you that the purpose of Dr.
Seynowski's work, and indeed today's discussion, is all about using those methods to clarify how the brain works and indeed to simplify the answer to that question.
So, for instance, today you will learn that regardless of who you are, regardless of your experience, that all your motivation in all domains of life is governed by a simple algorithm or equation.
Dr.
Signowski explains how a single rule, a single learning rule, drives all of our motivation related behaviors.
And it of course relates to the neuromodulator dopamine.
And if you're familiar with dopamine as a term today, you will really understand how dopamine works to drive your levels of motivation, or in some cases, lack of motivation, and how to overcome that lack of motivation.
Today we also discuss how best to learn.
Dr.
Sadnowski shares not just information about how the brain works, but also practical tools that he and colleagues have developed, including a zero cost online portal that teaches you how to learn better based on your particular learning style, the way that you in particular forage for information and implement that information.
Dr.