153 Episodes

  1. BI 212 John Beggs: Why Brains Seek the Edge of Chaos

    Published: 5/21/2025

  2. BI 211 COGITATE: Testing Theories of Consciousness

    Published: 5/7/2025

  3. BI 210 Dean Buonomano: Consciousness, Time, and Organotypic Dynamics

    Published: 4/22/2025

  4. BI 209 Aran Nayebi: The NeuroAI Turing Test

    Published: 4/9/2025

  5. BI 208 Gabriele Scheler: From Verbal Thought to Neuron Computation

    Published: 3/26/2025

  6. BI 207 Alison Preston: Schemas in our Brains and Minds

    Published: 3/12/2025

  7. Quick Announcement: Complexity Group

    Published: 3/5/2025

  8. BI 206 Ciara Greene: Memories Are Useful, Not Accurate

    Published: 2/26/2025

  9. BI 205 Dmitri Chklovskii: Neurons Are Smarter Than You Think

    Published: 2/12/2025

  10. BI 204 David Robbe: Your Brain Doesn’t Measure Time

    Published: 1/29/2025

  11. BI 203 David Krakauer: How To Think Like a Complexity Scientist

    Published: 1/14/2025

  12. BI 202 Eli Sennesh: Divide-and-Conquer to Predict

    Published: 1/3/2025

  13. BI 201 Rajesh Rao: From Predictive Coding to Brain Co-Processors

    Published: 12/18/2024

  14. BI 200 Grace Hwang and Joe Monaco: The Future of NeuroAI

    Published: 12/4/2024

  15. BI 199 Hessam Akhlaghpour: Natural Universal Computation

    Published: 11/26/2024

  16. BI 198 Tony Zador: Neuroscience Principles to Improve AI

    Published: 11/11/2024

  17. BI 197 Karen Adolph: How Babies Learn to Move and Think

    Published: 10/25/2024

  18. BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød

    Published: 10/11/2024

  19. BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød

    Published: 10/8/2024

  20. BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting

    Published: 9/27/2024

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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.