164 Episodes

  1. BI 184 Peter Stratton: Synthesize Neural Principles

    Published: 20/02/2024

  2. BI 183 Dan Goodman: Neural Reckoning

    Published: 06/02/2024

  3. BI 182: John Krakauer Returns… Again

    Published: 19/01/2024

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

    Published: 25/12/2023

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

    Published: 11/12/2023

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

    Published: 27/11/2023

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

    Published: 13/11/2023

  8. BI 177 Special: Bernstein Workshop Panel

    Published: 30/10/2023

  9. BI 176 David Poeppel Returns

    Published: 14/10/2023

  10. BI 175 Kevin Mitchell: Free Agents

    Published: 03/10/2023

  11. BI 174 Alicia Juarrero: Context Changes Everything

    Published: 13/09/2023

  12. BI 173 Justin Wood: Origins of Visual Intelligence

    Published: 30/08/2023

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

    Published: 07/08/2023

  14. BI 171 Mike Frank: Early Language and Cognition

    Published: 22/07/2023

  15. BI 170 Ali Mohebi: Starting a Research Lab

    Published: 11/07/2023

  16. BI 169 Andrea Martin: Neural Dynamics and Language

    Published: 28/06/2023

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

    Published: 02/06/2023

  18. BI 167 Panayiota Poirazi: AI Brains Need Dendrites

    Published: 27/05/2023

  19. BI 166 Nick Enfield: Language vs. Reality

    Published: 09/05/2023

  20. BI 165 Jeffrey Bowers: Psychology Gets No Respect

    Published: 12/04/2023

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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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