167 Avsnitt

  1. BI 226 Tatiana Engel: The High and Low Dimensional Brain

    Publicerades: 2025-12-03

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

    Publicerades: 2025-11-19

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

    Publicerades: 2025-11-05

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

    Publicerades: 2025-10-22

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

    Publicerades: 2025-10-08

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

    Publicerades: 2025-09-24

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

    Publicerades: 2025-09-10

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

    Publicerades: 2025-08-27

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

    Publicerades: 2025-08-13

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

    Publicerades: 2025-07-30

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

    Publicerades: 2025-07-16

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

    Publicerades: 2025-07-02

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

    Publicerades: 2025-06-18

  14. BI 213 Representations in Minds and Brains

    Publicerades: 2025-06-04

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

    Publicerades: 2025-05-21

  16. BI 211 COGITATE: Testing Theories of Consciousness

    Publicerades: 2025-05-07

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

    Publicerades: 2025-04-22

  18. BI 209 Aran Nayebi: The NeuroAI Turing Test

    Publicerades: 2025-04-09

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

    Publicerades: 2025-03-26

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

    Publicerades: 2025-03-12

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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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