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BI 101 Steve Potter: Motivating Brains In and Out of Dishes

BI 101 Steve Potter: Motivating Brains In and Out of Dishes

FromBrain Inspired


BI 101 Steve Potter: Motivating Brains In and Out of Dishes

FromBrain Inspired

ratings:
Length:
105 minutes
Released:
Apr 6, 2021
Format:
Podcast episode

Description

Steve and I discuss his book, How to Motivate Your Students to Love Learning, which is both a memoir and a guide for teachers and students to optimize the learning experience for intrinsic motivation. Steve taught neuroscience and engineering courses while running his own lab studying the activity of live cultured neural populations (which we discuss at length in his previous episode). He relentlessly tested and tweaked his teaching methods, including constant feedback from the students, to optimize their learning experiences. He settled on real-world, project-based learning approaches, like writing wikipedia articles and helping groups of students design and carry out their own experiments. We discuss that, plus the science behind learning, principles important for motivating students and maintaining that motivation, and many of the other valuable insights he shares in the book.






The first half of the episode we discuss diverse neuroscience and AI topics, like brain organoids, mind-uploading, synaptic plasticity, and more. Then we discuss many of the stories and lessons from his book, which I recommend for teachers, mentors, and life-long students who want to ensure they're optimizing their own  learning.



Potter Lab.Twitter: @stevempotter.The Book: How to Motivate Your Students to Love Learning.The glial cell activity movie.



0:00 - Intro
6:38 - Brain organoids
18:48 - Glial cell plasticity
24:50 - Whole brain emulation
35:28 - Industry vs. academia
45:32 - Intro to book: How To Motivate Your Students To Love Learning
48:29 - Steve's childhood influences
57:21 - Developing one's own intrinsic motivation
1:02:30 - Real-world assignments
1:08:00 - Keys to motivation
1:11:50 - Peer pressure
1:21:16 - Autonomy
1:25:38 - Wikipedia real-world assignment
1:33:12 - Relation to running a lab
Released:
Apr 6, 2021
Format:
Podcast episode

Titles in the series (99)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.