155 Episodo

  1. BI 115 Steve Grossberg: Conscious Mind, Resonant Brain

    Publicado: 2/10/2021

  2. BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind

    Publicado: 22/9/2021

  3. BI 113 David Barack and John Krakauer: Two Views On Cognition

    Publicado: 12/9/2021

  4. BI ViDA Panel Discussion: Deep RL and Dopamine

    Publicado: 2/9/2021

  5. BI 112 Ali Mohebi and Ben Engelhard: The Many Faces of Dopamine

    Publicado: 26/8/2021

  6. BI NMA 06: Advancing Neuro Deep Learning Panel

    Publicado: 19/8/2021

  7. BI NMA 05: NLP and Generative Models Panel

    Publicado: 13/8/2021

  8. BI NMA 04: Deep Learning Basics Panel

    Publicado: 6/8/2021

  9. BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness

    Publicado: 28/7/2021

  10. BI NMA 03: Stochastic Processes Panel

    Publicado: 22/7/2021

  11. BI NMA 02: Dynamical Systems Panel

    Publicado: 15/7/2021

  12. BI NMA 01: Machine Learning Panel

    Publicado: 12/7/2021

  13. BI 110 Catherine Stinson and Jessica Thompson: Neuro-AI Explanation

    Publicado: 6/7/2021

  14. BI 109 Mark Bickhard: Interactivism

    Publicado: 26/6/2021

  15. BI 108 Grace Lindsay: Models of the Mind

    Publicado: 16/6/2021

  16. BI 107 Steve Fleming: Know Thyself

    Publicado: 6/6/2021

  17. BI 106 Jacqueline Gottlieb and Robert Wilson: Deep Curiosity

    Publicado: 27/5/2021

  18. BI 105 Sanjeev Arora: Off the Convex Path

    Publicado: 17/5/2021

  19. BI 104 John Kounios and David Rosen: Creativity, Expertise, Insight

    Publicado: 7/5/2021

  20. BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading

    Publicado: 26/4/2021

6 / 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