167 Folgen

  1. BI 187: COSYNE 2024 Neuro-AI Panel

    Vom: 20.4.2024

  2. BI 186 Mazviita Chirimuuta: The Brain Abstracted

    Vom: 25.3.2024

  3. BI 185 Eric Yttri: Orchestrating Behavior

    Vom: 6.3.2024

  4. BI 184 Peter Stratton: Synthesize Neural Principles

    Vom: 20.2.2024

  5. BI 183 Dan Goodman: Neural Reckoning

    Vom: 6.2.2024

  6. BI 182: John Krakauer Returns… Again

    Vom: 19.1.2024

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

    Vom: 25.12.2023

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

    Vom: 11.12.2023

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

    Vom: 27.11.2023

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

    Vom: 13.11.2023

  11. BI 177 Special: Bernstein Workshop Panel

    Vom: 30.10.2023

  12. BI 176 David Poeppel Returns

    Vom: 14.10.2023

  13. BI 175 Kevin Mitchell: Free Agents

    Vom: 3.10.2023

  14. BI 174 Alicia Juarrero: Context Changes Everything

    Vom: 13.9.2023

  15. BI 173 Justin Wood: Origins of Visual Intelligence

    Vom: 30.8.2023

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

    Vom: 7.8.2023

  17. BI 171 Mike Frank: Early Language and Cognition

    Vom: 22.7.2023

  18. BI 170 Ali Mohebi: Starting a Research Lab

    Vom: 11.7.2023

  19. BI 169 Andrea Martin: Neural Dynamics and Language

    Vom: 28.6.2023

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

    Vom: 2.6.2023

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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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