Brain Inspired

A podcast by Paul Middlebrooks

Categories:

Education Technology

127 Episodes

  1. BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness

    Published: 7/28/2021

  2. BI NMA 03: Stochastic Processes Panel

    Published: 7/22/2021

  3. BI NMA 02: Dynamical Systems Panel

    Published: 7/15/2021

  4. BI NMA 01: Machine Learning Panel

    Published: 7/12/2021

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

    Published: 7/6/2021

  6. BI 109 Mark Bickhard: Interactivism

    Published: 6/26/2021

  7. BI 108 Grace Lindsay: Models of the Mind

    Published: 6/16/2021

  8. BI 107 Steve Fleming: Know Thyself

    Published: 6/6/2021

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

    Published: 5/27/2021

  10. BI 105 Sanjeev Arora: Off the Convex Path

    Published: 5/17/2021

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

    Published: 5/7/2021

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

    Published: 4/26/2021

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

    Published: 4/16/2021

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

    Published: 4/6/2021

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

    Published: 3/28/2021

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

    Published: 3/21/2021

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

    Published: 3/17/2021

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

    Published: 3/12/2021

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

    Published: 3/9/2021

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

    Published: 2/28/2021

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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.