165 Epizód

  1. BI 185 Eric Yttri: Orchestrating Behavior

    Közzétéve: 2024. 03. 06.

  2. BI 184 Peter Stratton: Synthesize Neural Principles

    Közzétéve: 2024. 02. 20.

  3. BI 183 Dan Goodman: Neural Reckoning

    Közzétéve: 2024. 02. 06.

  4. BI 182: John Krakauer Returns… Again

    Közzétéve: 2024. 01. 19.

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

    Közzétéve: 2023. 12. 25.

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

    Közzétéve: 2023. 12. 11.

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

    Közzétéve: 2023. 11. 27.

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

    Közzétéve: 2023. 11. 13.

  9. BI 177 Special: Bernstein Workshop Panel

    Közzétéve: 2023. 10. 30.

  10. BI 176 David Poeppel Returns

    Közzétéve: 2023. 10. 14.

  11. BI 175 Kevin Mitchell: Free Agents

    Közzétéve: 2023. 10. 03.

  12. BI 174 Alicia Juarrero: Context Changes Everything

    Közzétéve: 2023. 09. 13.

  13. BI 173 Justin Wood: Origins of Visual Intelligence

    Közzétéve: 2023. 08. 30.

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

    Közzétéve: 2023. 08. 07.

  15. BI 171 Mike Frank: Early Language and Cognition

    Közzétéve: 2023. 07. 22.

  16. BI 170 Ali Mohebi: Starting a Research Lab

    Közzétéve: 2023. 07. 11.

  17. BI 169 Andrea Martin: Neural Dynamics and Language

    Közzétéve: 2023. 06. 28.

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

    Közzétéve: 2023. 06. 02.

  19. BI 167 Panayiota Poirazi: AI Brains Need Dendrites

    Közzétéve: 2023. 05. 27.

  20. BI 166 Nick Enfield: Language vs. Reality

    Közzétéve: 2023. 05. 09.

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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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