155 Epizód

  1. BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød

    Közzétéve: 2024. 10. 08.

  2. BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting

    Közzétéve: 2024. 09. 27.

  3. BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI

    Közzétéve: 2024. 09. 11.

  4. BI 192 Àlex Gómez-Marín: The Edges of Consciousness

    Közzétéve: 2024. 08. 28.

  5. BI 191 Damian Kelty-Stephen: Fractal Turbulent Cascading Intelligence

    Közzétéve: 2024. 08. 15.

  6. BI 190 Luis Favela: The Ecological Brain

    Közzétéve: 2024. 07. 31.

  7. BI 189 Joshua Vogelstein: Connectomes and Prospective Learning

    Közzétéve: 2024. 06. 29.

  8. BI 188 Jolande Fooken: Coordinating Action and Perception

    Közzétéve: 2024. 05. 27.

  9. BI 187: COSYNE 2024 Neuro-AI Panel

    Közzétéve: 2024. 04. 20.

  10. BI 186 Mazviita Chirimuuta: The Brain Abstracted

    Közzétéve: 2024. 03. 25.

  11. BI 185 Eric Yttri: Orchestrating Behavior

    Közzétéve: 2024. 03. 06.

  12. BI 184 Peter Stratton: Synthesize Neural Principles

    Közzétéve: 2024. 02. 20.

  13. BI 183 Dan Goodman: Neural Reckoning

    Közzétéve: 2024. 02. 06.

  14. BI 182: John Krakauer Returns… Again

    Közzétéve: 2024. 01. 19.

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

    Közzétéve: 2023. 12. 25.

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

    Közzétéve: 2023. 12. 11.

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

    Közzétéve: 2023. 11. 27.

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

    Közzétéve: 2023. 11. 13.

  19. BI 177 Special: Bernstein Workshop Panel

    Közzétéve: 2023. 10. 30.

  20. BI 176 David Poeppel Returns

    Közzétéve: 2023. 10. 14.

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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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