163 Episodes

  1. BI 222 Nikolay Kukushkin: Minds and Meaning from Nature’s Ideas

    Published: 10/8/2025

  2. BI 221 Ann Kennedy: Theory Beneath the Cortical Surface

    Published: 9/24/2025

  3. BI 220 Michael Breakspear and Mac Shine: Dynamic Systems from Neurons to Brains

    Published: 9/10/2025

  4. BI 219 Xaq Pitkow: Principles and Constraints of Cognition

    Published: 8/27/2025

  5. BI 218 Chris Rozell: Brain Stimulation and AI for Mental Disorders

    Published: 8/13/2025

  6. BI 217 Jennifer Prendki: Consciousness, Life, AI, and Quantum Physics

    Published: 7/30/2025

  7. BI 216 Woodrow Shew and Keith Hengen: The Nature of Brain Criticality

    Published: 7/16/2025

  8. BI 215 Xiao-Jing Wang: Theoretical Neuroscience Comes of Age

    Published: 7/2/2025

  9. BI 214 Nicole Rust: How To Actually Fix Brains and Minds

    Published: 6/18/2025

  10. BI 213 Representations in Minds and Brains

    Published: 6/4/2025

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

    Published: 5/21/2025

  12. BI 211 COGITATE: Testing Theories of Consciousness

    Published: 5/7/2025

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

    Published: 4/22/2025

  14. BI 209 Aran Nayebi: The NeuroAI Turing Test

    Published: 4/9/2025

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

    Published: 3/26/2025

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

    Published: 3/12/2025

  17. Quick Announcement: Complexity Group

    Published: 3/5/2025

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

    Published: 2/26/2025

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

    Published: 2/12/2025

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

    Published: 1/29/2025

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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.