155 Episoder

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

    Publisert: 18.6.2025
  2. BI 213 Representations in Minds and Brains

    Publisert: 4.6.2025
  3. BI 212 John Beggs: Why Brains Seek the Edge of Chaos

    Publisert: 21.5.2025
  4. BI 211 COGITATE: Testing Theories of Consciousness

    Publisert: 7.5.2025
  5. BI 210 Dean Buonomano: Consciousness, Time, and Organotypic Dynamics

    Publisert: 22.4.2025
  6. BI 209 Aran Nayebi: The NeuroAI Turing Test

    Publisert: 9.4.2025
  7. BI 208 Gabriele Scheler: From Verbal Thought to Neuron Computation

    Publisert: 26.3.2025
  8. BI 207 Alison Preston: Schemas in our Brains and Minds

    Publisert: 12.3.2025
  9. Quick Announcement: Complexity Group

    Publisert: 5.3.2025
  10. BI 206 Ciara Greene: Memories Are Useful, Not Accurate

    Publisert: 26.2.2025
  11. BI 205 Dmitri Chklovskii: Neurons Are Smarter Than You Think

    Publisert: 12.2.2025
  12. BI 204 David Robbe: Your Brain Doesn’t Measure Time

    Publisert: 29.1.2025
  13. BI 203 David Krakauer: How To Think Like a Complexity Scientist

    Publisert: 14.1.2025
  14. BI 202 Eli Sennesh: Divide-and-Conquer to Predict

    Publisert: 3.1.2025
  15. BI 201 Rajesh Rao: From Predictive Coding to Brain Co-Processors

    Publisert: 18.12.2024
  16. BI 200 Grace Hwang and Joe Monaco: The Future of NeuroAI

    Publisert: 4.12.2024
  17. BI 199 Hessam Akhlaghpour: Natural Universal Computation

    Publisert: 26.11.2024
  18. BI 198 Tony Zador: Neuroscience Principles to Improve AI

    Publisert: 11.11.2024
  19. BI 197 Karen Adolph: How Babies Learn to Move and Think

    Publisert: 25.10.2024
  20. BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød

    Publisert: 11.10.2024

1 / 8

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.

Visit the podcast's native language site