165 Epizód

  1. BI 145 James Woodward: Causation with a Human Face

    Közzétéve: 2022. 08. 28.

  2. BI 144 Emily M. Bender and Ev Fedorenko: Large Language Models

    Közzétéve: 2022. 08. 17.

  3. BI 143 Rodolphe Sepulchre: Mixed Feedback Control

    Közzétéve: 2022. 08. 05.

  4. BI 142 Cameron Buckner: The New DoGMA

    Közzétéve: 2022. 07. 26.

  5. BI 141 Carina Curto: From Structure to Dynamics

    Közzétéve: 2022. 07. 12.

  6. BI 140 Jeff Schall: Decisions and Eye Movements

    Közzétéve: 2022. 06. 30.

  7. BI 139 Marc Howard: Compressed Time and Memory

    Közzétéve: 2022. 06. 20.

  8. BI 138 Matthew Larkum: The Dendrite Hypothesis

    Közzétéve: 2022. 06. 06.

  9. BI 137 Brian Butterworth: Can Fish Count?

    Közzétéve: 2022. 05. 27.

  10. BI 136 Michel Bitbol and Alex Gomez-Marin: Phenomenology

    Közzétéve: 2022. 05. 17.

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

    Közzétéve: 2022. 05. 06.

  12. BI 134 Mandyam Srinivasan: Bee Flight and Cognition

    Közzétéve: 2022. 04. 27.

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

    Közzétéve: 2022. 04. 15.

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

    Közzétéve: 2022. 04. 03.

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

    Közzétéve: 2022. 03. 26.

  16. BI 130 Eve Marder: Modulation of Networks

    Közzétéve: 2022. 03. 13.

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

    Közzétéve: 2022. 03. 02.

  18. BI 128 Hakwan Lau: In Consciousness We Trust

    Közzétéve: 2022. 02. 20.

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

    Közzétéve: 2022. 02. 10.

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

    Közzétéve: 2022. 01. 31.

5 / 9

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