165 Episodes

  1. BI 096 Keisuke Fukuda and Josh Cosman: Forking Paths

    Published: 29/01/2021

  2. BI 095 Chris Summerfield and Sam Gershman: Neuro for AI?

    Published: 19/01/2021

  3. BI 094 Alison Gopnik: Child-Inspired AI

    Published: 8/01/2021

  4. BI 093 Dileep George: Inference in Brain Microcircuits

    Published: 29/12/2020

  5. BI 092 Russ Poldrack: Cognitive Ontologies

    Published: 15/12/2020

  6. BI 091 Carsen Stringer: Understanding 40,000 Neurons

    Published: 4/12/2020

  7. BI 090 Chris Eliasmith: Building the Human Brain

    Published: 23/11/2020

  8. BI 089 Matt Smith: Drifting Cognition

    Published: 12/11/2020

  9. BI 088 Randy O’Reilly: Simulating the Human Brain

    Published: 2/11/2020

  10. BI 087 Dileep George: Cloning for Cognitive Maps

    Published: 23/10/2020

  11. BI 086 Ken Stanley: Open-Endedness

    Published: 12/10/2020

  12. BI 085 Ida Momennejad: Learning Representations

    Published: 30/09/2020

  13. BI 084 György Buzsáki and David Poeppel

    Published: 15/09/2020

  14. BI 083 Jane Wang: Evolving Altruism in AI

    Published: 5/09/2020

  15. BI 082 Steve Grossberg: Adaptive Resonance Theory

    Published: 26/08/2020

  16. BI 081 Pieter Roelfsema: Brain-propagation

    Published: 16/08/2020

  17. BI 080 Daeyeol Lee: Birth of Intelligence

    Published: 6/08/2020

  18. BI 079 Romain Brette: The Coding Brain Metaphor

    Published: 27/07/2020

  19. BI 078 David and John Krakauer: Part 2

    Published: 17/07/2020

  20. BI 077 David and John Krakauer: Part 1

    Published: 14/07/2020

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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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