165 Episodo

  1. BI 185 Eric Yttri: Orchestrating Behavior

    Publicado: 6/3/2024

  2. BI 184 Peter Stratton: Synthesize Neural Principles

    Publicado: 20/2/2024

  3. BI 183 Dan Goodman: Neural Reckoning

    Publicado: 6/2/2024

  4. BI 182: John Krakauer Returns… Again

    Publicado: 19/1/2024

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

    Publicado: 25/12/2023

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

    Publicado: 11/12/2023

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

    Publicado: 27/11/2023

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

    Publicado: 13/11/2023

  9. BI 177 Special: Bernstein Workshop Panel

    Publicado: 30/10/2023

  10. BI 176 David Poeppel Returns

    Publicado: 14/10/2023

  11. BI 175 Kevin Mitchell: Free Agents

    Publicado: 3/10/2023

  12. BI 174 Alicia Juarrero: Context Changes Everything

    Publicado: 13/9/2023

  13. BI 173 Justin Wood: Origins of Visual Intelligence

    Publicado: 30/8/2023

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

    Publicado: 7/8/2023

  15. BI 171 Mike Frank: Early Language and Cognition

    Publicado: 22/7/2023

  16. BI 170 Ali Mohebi: Starting a Research Lab

    Publicado: 11/7/2023

  17. BI 169 Andrea Martin: Neural Dynamics and Language

    Publicado: 28/6/2023

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

    Publicado: 2/6/2023

  19. BI 167 Panayiota Poirazi: AI Brains Need Dendrites

    Publicado: 27/5/2023

  20. BI 166 Nick Enfield: Language vs. Reality

    Publicado: 9/5/2023

3 / 9

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.

Visit the podcast's native language site