165 Epizód

  1. BI 205 Dmitri Chklovskii: Neurons Are Smarter Than You Think

    Közzétéve: 2025. 02. 12.

  2. BI 204 David Robbe: Your Brain Doesn’t Measure Time

    Közzétéve: 2025. 01. 29.

  3. BI 203 David Krakauer: How To Think Like a Complexity Scientist

    Közzétéve: 2025. 01. 14.

  4. BI 202 Eli Sennesh: Divide-and-Conquer to Predict

    Közzétéve: 2025. 01. 03.

  5. BI 201 Rajesh Rao: From Predictive Coding to Brain Co-Processors

    Közzétéve: 2024. 12. 18.

  6. BI 200 Grace Hwang and Joe Monaco: The Future of NeuroAI

    Közzétéve: 2024. 12. 04.

  7. BI 199 Hessam Akhlaghpour: Natural Universal Computation

    Közzétéve: 2024. 11. 26.

  8. BI 198 Tony Zador: Neuroscience Principles to Improve AI

    Közzétéve: 2024. 11. 11.

  9. BI 197 Karen Adolph: How Babies Learn to Move and Think

    Közzétéve: 2024. 10. 25.

  10. BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød

    Közzétéve: 2024. 10. 11.

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

    Közzétéve: 2024. 10. 08.

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

    Közzétéve: 2024. 09. 27.

  13. BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI

    Közzétéve: 2024. 09. 11.

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

    Közzétéve: 2024. 08. 28.

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

    Közzétéve: 2024. 08. 15.

  16. BI 190 Luis Favela: The Ecological Brain

    Közzétéve: 2024. 07. 31.

  17. BI 189 Joshua Vogelstein: Connectomes and Prospective Learning

    Közzétéve: 2024. 06. 29.

  18. BI 188 Jolande Fooken: Coordinating Action and Perception

    Közzétéve: 2024. 05. 27.

  19. BI 187: COSYNE 2024 Neuro-AI Panel

    Közzétéve: 2024. 04. 20.

  20. BI 186 Mazviita Chirimuuta: The Brain Abstracted

    Közzétéve: 2024. 03. 25.

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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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