154 Episodes

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

    Published: 9/27/2024

  2. BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI

    Published: 9/11/2024

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

    Published: 8/28/2024

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

    Published: 8/15/2024

  5. BI 190 Luis Favela: The Ecological Brain

    Published: 7/31/2024

  6. BI 189 Joshua Vogelstein: Connectomes and Prospective Learning

    Published: 6/29/2024

  7. BI 188 Jolande Fooken: Coordinating Action and Perception

    Published: 5/27/2024

  8. BI 187: COSYNE 2024 Neuro-AI Panel

    Published: 4/20/2024

  9. BI 186 Mazviita Chirimuuta: The Brain Abstracted

    Published: 3/25/2024

  10. BI 185 Eric Yttri: Orchestrating Behavior

    Published: 3/6/2024

  11. BI 184 Peter Stratton: Synthesize Neural Principles

    Published: 2/20/2024

  12. BI 183 Dan Goodman: Neural Reckoning

    Published: 2/6/2024

  13. BI 182: John Krakauer Returns… Again

    Published: 1/19/2024

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

    Published: 12/25/2023

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

    Published: 12/11/2023

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

    Published: 11/27/2023

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

    Published: 11/13/2023

  18. BI 177 Special: Bernstein Workshop Panel

    Published: 10/30/2023

  19. BI 176 David Poeppel Returns

    Published: 10/14/2023

  20. BI 175 Kevin Mitchell: Free Agents

    Published: 10/3/2023

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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.