155 Episodes

  1. BI 175 Kevin Mitchell: Free Agents

    Published: 10/3/2023

  2. BI 174 Alicia Juarrero: Context Changes Everything

    Published: 9/13/2023

  3. BI 173 Justin Wood: Origins of Visual Intelligence

    Published: 8/30/2023

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

    Published: 8/7/2023

  5. BI 171 Mike Frank: Early Language and Cognition

    Published: 7/22/2023

  6. BI 170 Ali Mohebi: Starting a Research Lab

    Published: 7/11/2023

  7. BI 169 Andrea Martin: Neural Dynamics and Language

    Published: 6/28/2023

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

    Published: 6/2/2023

  9. BI 167 Panayiota Poirazi: AI Brains Need Dendrites

    Published: 5/27/2023

  10. BI 166 Nick Enfield: Language vs. Reality

    Published: 5/9/2023

  11. BI 165 Jeffrey Bowers: Psychology Gets No Respect

    Published: 4/12/2023

  12. BI 164 Gary Lupyan: How Language Affects Thought

    Published: 4/1/2023

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

    Published: 3/20/2023

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

    Published: 3/8/2023

  15. BI 161 Hugo Spiers: Navigation and Spatial Cognition

    Published: 2/24/2023

  16. BI 160 Ole Jensen: Rhythms of Cognition

    Published: 2/7/2023

  17. BI 159 Chris Summerfield: Natural General Intelligence

    Published: 1/26/2023

  18. BI 158 Paul Rosenbloom: Cognitive Architectures

    Published: 1/16/2023

  19. BI 157 Sarah Robins: Philosophy of Memory

    Published: 1/2/2023

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

    Published: 12/23/2022

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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.