167 Avsnitt

  1. BI 167 Panayiota Poirazi: AI Brains Need Dendrites

    Publicerades: 2023-05-27

  2. BI 166 Nick Enfield: Language vs. Reality

    Publicerades: 2023-05-09

  3. BI 165 Jeffrey Bowers: Psychology Gets No Respect

    Publicerades: 2023-04-12

  4. BI 164 Gary Lupyan: How Language Affects Thought

    Publicerades: 2023-04-01

  5. BI 163 Ellie Pavlick: The Mind of a Language Model

    Publicerades: 2023-03-20

  6. BI 162 Earl K. Miller: Thoughts are an Emergent Property

    Publicerades: 2023-03-08

  7. BI 161 Hugo Spiers: Navigation and Spatial Cognition

    Publicerades: 2023-02-24

  8. BI 160 Ole Jensen: Rhythms of Cognition

    Publicerades: 2023-02-07

  9. BI 159 Chris Summerfield: Natural General Intelligence

    Publicerades: 2023-01-26

  10. BI 158 Paul Rosenbloom: Cognitive Architectures

    Publicerades: 2023-01-16

  11. BI 157 Sarah Robins: Philosophy of Memory

    Publicerades: 2023-01-02

  12. BI 156 Mariam Aly: Memory, Attention, and Perception

    Publicerades: 2022-12-23

  13. BI 155 Luiz Pessoa: The Entangled Brain

    Publicerades: 2022-12-10

  14. BI 154 Anne Collins: Learning with Working Memory

    Publicerades: 2022-11-29

  15. BI 153 Carolyn Dicey-Jennings: Attention and the Self

    Publicerades: 2022-11-18

  16. BI 152 Michael L. Anderson: After Phrenology: Neural Reuse

    Publicerades: 2022-11-08

  17. BI 151 Steve Byrnes: Brain-like AGI Safety

    Publicerades: 2022-10-30

  18. BI 150 Dan Nicholson: Machines, Organisms, Processes

    Publicerades: 2022-10-15

  19. BI 149 William B. Miller: Cell Intelligence

    Publicerades: 2022-10-05

  20. BI 148 Gaute Einevoll: Brain Simulations

    Publicerades: 2022-09-25

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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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