167 Avsnitt

  1. BI 187: COSYNE 2024 Neuro-AI Panel

    Publicerades: 2024-04-20

  2. BI 186 Mazviita Chirimuuta: The Brain Abstracted

    Publicerades: 2024-03-25

  3. BI 185 Eric Yttri: Orchestrating Behavior

    Publicerades: 2024-03-06

  4. BI 184 Peter Stratton: Synthesize Neural Principles

    Publicerades: 2024-02-20

  5. BI 183 Dan Goodman: Neural Reckoning

    Publicerades: 2024-02-06

  6. BI 182: John Krakauer Returns… Again

    Publicerades: 2024-01-19

  7. BI 181 Max Bennett: A Brief History of Intelligence

    Publicerades: 2023-12-25

  8. BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding

    Publicerades: 2023-12-11

  9. BI 179 Laura Gradowski: Include the Fringe with Pluralism

    Publicerades: 2023-11-27

  10. BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions

    Publicerades: 2023-11-13

  11. BI 177 Special: Bernstein Workshop Panel

    Publicerades: 2023-10-30

  12. BI 176 David Poeppel Returns

    Publicerades: 2023-10-14

  13. BI 175 Kevin Mitchell: Free Agents

    Publicerades: 2023-10-03

  14. BI 174 Alicia Juarrero: Context Changes Everything

    Publicerades: 2023-09-13

  15. BI 173 Justin Wood: Origins of Visual Intelligence

    Publicerades: 2023-08-30

  16. BI 172 David Glanzman: Memory All The Way Down

    Publicerades: 2023-08-07

  17. BI 171 Mike Frank: Early Language and Cognition

    Publicerades: 2023-07-22

  18. BI 170 Ali Mohebi: Starting a Research Lab

    Publicerades: 2023-07-11

  19. BI 169 Andrea Martin: Neural Dynamics and Language

    Publicerades: 2023-06-28

  20. BI 168 Frauke Sandig and Eric Black w Alex Gomez-Marin: AWARE: Glimpses of Consciousness

    Publicerades: 2023-06-02

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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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