166 Épisodes

  1. BI 225 Henk De Regt: Understanding in Machines and Humans

    Publié: 19/11/2025

  2. BI 224 Dan Nicholson: Schrödinger’s What is Life? Revisited

    Publié: 05/11/2025

  3. BI 223 Vicente Raja: Ecological Psychology Motifs in Neuroscience

    Publié: 22/10/2025

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

    Publié: 08/10/2025

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

    Publié: 24/09/2025

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

    Publié: 10/09/2025

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

    Publié: 27/08/2025

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

    Publié: 13/08/2025

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

    Publié: 30/07/2025

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

    Publié: 16/07/2025

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

    Publié: 02/07/2025

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

    Publié: 18/06/2025

  13. BI 213 Representations in Minds and Brains

    Publié: 04/06/2025

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

    Publié: 21/05/2025

  15. BI 211 COGITATE: Testing Theories of Consciousness

    Publié: 07/05/2025

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

    Publié: 22/04/2025

  17. BI 209 Aran Nayebi: The NeuroAI Turing Test

    Publié: 09/04/2025

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

    Publié: 26/03/2025

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

    Publié: 12/03/2025

  20. Quick Announcement: Complexity Group

    Publié: 05/03/2025

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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.

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