155 Epizód

  1. BI 135 Elena Galea: The Stars of the Brain

    Közzétéve: 2022. 05. 06.

  2. BI 134 Mandyam Srinivasan: Bee Flight and Cognition

    Közzétéve: 2022. 04. 27.

  3. BI 133 Ken Paller: Lucid Dreaming, Memory, and Sleep

    Közzétéve: 2022. 04. 15.

  4. BI 132 Ila Fiete: A Grid Scaffold for Memory

    Közzétéve: 2022. 04. 03.

  5. BI 131 Sri Ramaswamy and Jie Mei: Neuromodulation-aware DNNs

    Közzétéve: 2022. 03. 26.

  6. BI 130 Eve Marder: Modulation of Networks

    Közzétéve: 2022. 03. 13.

  7. BI 129 Patryk Laurent: Learning from the Real World

    Közzétéve: 2022. 03. 02.

  8. BI 128 Hakwan Lau: In Consciousness We Trust

    Közzétéve: 2022. 02. 20.

  9. BI 127 Tomás Ryan: Memory, Instinct, and Forgetting

    Közzétéve: 2022. 02. 10.

  10. BI 126 Randy Gallistel: Where Is the Engram?

    Közzétéve: 2022. 01. 31.

  11. BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys

    Közzétéve: 2022. 01. 19.

  12. BI 124 Peter Robin Hiesinger: The Self-Assembling Brain

    Közzétéve: 2022. 01. 05.

  13. BI 123 Irina Rish: Continual Learning

    Közzétéve: 2021. 12. 26.

  14. BI 122 Kohitij Kar: Visual Intelligence

    Közzétéve: 2021. 12. 12.

  15. BI 121 Mac Shine: Systems Neurobiology

    Közzétéve: 2021. 12. 02.

  16. BI 120 James Fitzgerald, Andrew Saxe, Weinan Sun: Optimizing Memories

    Közzétéve: 2021. 11. 21.

  17. BI 119 Henry Yin: The Crisis in Neuroscience

    Közzétéve: 2021. 11. 11.

  18. BI 118 Johannes Jäger: Beyond Networks

    Közzétéve: 2021. 11. 01.

  19. BI 117 Anil Seth: Being You

    Közzétéve: 2021. 10. 19.

  20. BI 116 Michael W. Cole: Empirical Neural Networks

    Közzétéve: 2021. 10. 12.

5 / 8

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.

Visit the podcast's native language site