155 Epizód

  1. BI 155 Luiz Pessoa: The Entangled Brain

    Közzétéve: 2022. 12. 10.

  2. BI 154 Anne Collins: Learning with Working Memory

    Közzétéve: 2022. 11. 29.

  3. BI 153 Carolyn Dicey-Jennings: Attention and the Self

    Közzétéve: 2022. 11. 18.

  4. BI 152 Michael L. Anderson: After Phrenology: Neural Reuse

    Közzétéve: 2022. 11. 08.

  5. BI 151 Steve Byrnes: Brain-like AGI Safety

    Közzétéve: 2022. 10. 30.

  6. BI 150 Dan Nicholson: Machines, Organisms, Processes

    Közzétéve: 2022. 10. 15.

  7. BI 149 William B. Miller: Cell Intelligence

    Közzétéve: 2022. 10. 05.

  8. BI 148 Gaute Einevoll: Brain Simulations

    Közzétéve: 2022. 09. 25.

  9. BI 147 Noah Hutton: In Silico

    Közzétéve: 2022. 09. 13.

  10. BI 146 Lauren Ross: Causal and Non-Causal Explanation

    Közzétéve: 2022. 09. 07.

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

    Közzétéve: 2022. 08. 28.

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

    Közzétéve: 2022. 08. 17.

  13. BI 143 Rodolphe Sepulchre: Mixed Feedback Control

    Közzétéve: 2022. 08. 05.

  14. BI 142 Cameron Buckner: The New DoGMA

    Közzétéve: 2022. 07. 26.

  15. BI 141 Carina Curto: From Structure to Dynamics

    Közzétéve: 2022. 07. 12.

  16. BI 140 Jeff Schall: Decisions and Eye Movements

    Közzétéve: 2022. 06. 30.

  17. BI 139 Marc Howard: Compressed Time and Memory

    Közzétéve: 2022. 06. 20.

  18. BI 138 Matthew Larkum: The Dendrite Hypothesis

    Közzétéve: 2022. 06. 06.

  19. BI 137 Brian Butterworth: Can Fish Count?

    Közzétéve: 2022. 05. 27.

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

    Közzétéve: 2022. 05. 17.

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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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