155 Epizód

  1. BI 214 Nicole Rust: How To Actually Fix Brains and Minds

    Közzétéve: 2025. 06. 18.

  2. BI 213 Representations in Minds and Brains

    Közzétéve: 2025. 06. 04.

  3. BI 212 John Beggs: Why Brains Seek the Edge of Chaos

    Közzétéve: 2025. 05. 21.

  4. BI 211 COGITATE: Testing Theories of Consciousness

    Közzétéve: 2025. 05. 07.

  5. BI 210 Dean Buonomano: Consciousness, Time, and Organotypic Dynamics

    Közzétéve: 2025. 04. 22.

  6. BI 209 Aran Nayebi: The NeuroAI Turing Test

    Közzétéve: 2025. 04. 09.

  7. BI 208 Gabriele Scheler: From Verbal Thought to Neuron Computation

    Közzétéve: 2025. 03. 26.

  8. BI 207 Alison Preston: Schemas in our Brains and Minds

    Közzétéve: 2025. 03. 12.

  9. Quick Announcement: Complexity Group

    Közzétéve: 2025. 03. 05.

  10. BI 206 Ciara Greene: Memories Are Useful, Not Accurate

    Közzétéve: 2025. 02. 26.

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

    Közzétéve: 2025. 02. 12.

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

    Közzétéve: 2025. 01. 29.

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

    Közzétéve: 2025. 01. 14.

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

    Közzétéve: 2025. 01. 03.

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

    Közzétéve: 2024. 12. 18.

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

    Közzétéve: 2024. 12. 04.

  17. BI 199 Hessam Akhlaghpour: Natural Universal Computation

    Közzétéve: 2024. 11. 26.

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

    Közzétéve: 2024. 11. 11.

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

    Közzétéve: 2024. 10. 25.

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

    Közzétéve: 2024. 10. 11.

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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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