165 Episodes

  1. BI NMA 02: Dynamical Systems Panel

    Published: 7/15/2021

  2. BI NMA 01: Machine Learning Panel

    Published: 7/12/2021

  3. BI 110 Catherine Stinson and Jessica Thompson: Neuro-AI Explanation

    Published: 7/6/2021

  4. BI 109 Mark Bickhard: Interactivism

    Published: 6/26/2021

  5. BI 108 Grace Lindsay: Models of the Mind

    Published: 6/16/2021

  6. BI 107 Steve Fleming: Know Thyself

    Published: 6/6/2021

  7. BI 106 Jacqueline Gottlieb and Robert Wilson: Deep Curiosity

    Published: 5/27/2021

  8. BI 105 Sanjeev Arora: Off the Convex Path

    Published: 5/17/2021

  9. BI 104 John Kounios and David Rosen: Creativity, Expertise, Insight

    Published: 5/7/2021

  10. BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading

    Published: 4/26/2021

  11. BI 102 Mark Humphries: What Is It Like To Be A Spike?

    Published: 4/16/2021

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

    Published: 4/6/2021

  13. BI 100.6 Special: Do We Have the Right Vocabulary and Concepts?

    Published: 3/28/2021

  14. BI 100.4 Special: What Ideas Are Holding Us Back?

    Published: 3/21/2021

  15. BI 100.3 Special: Can We Scale Up to AGI with Current Tech?

    Published: 3/17/2021

  16. BI 100.2 Special: What Are the Biggest Challenges and Disagreements?

    Published: 3/12/2021

  17. BI 100.1 Special: What Has Improved Your Career or Well-being?

    Published: 3/9/2021

  18. BI 099 Hakwan Lau and Steve Fleming: Neuro-AI Consciousness

    Published: 2/28/2021

  19. BI 098 Brian Christian: The Alignment Problem

    Published: 2/18/2021

  20. BI 097 Omri Barak and David Sussillo: Dynamics and Structure

    Published: 2/8/2021

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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.