Brain Inspired

By Paul Middlebrooks

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.

  1. 1.
    BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness
    1:38:04
  2. 2.
    BI NMA 03: Stochastic Processes Panel
    1:00:48
  3. 3.
    BI NMA 02: Dynamical Systems Panel
    1:15:28
  4. 4.
    BI NMA 01: Machine Learning Panel
    1:27:12
  5. 5.
    BI 110 Catherine Stinson and Jessica Thompson: Neuro-AI Explanation
    1:25:02
  6. 6.
    BI 109 Mark Bickhard: Interactivism
    2:03:43
  7. 7.
    BI 108 Grace Lindsay: Models of the Mind
    1:26:12
  8. 8.
    BI 107 Steve Fleming: Know Thyself
    1:29:24
  1. 9.
    BI 106 Jacqueline Gottlieb and Robert Wilson: Deep Curiosity
    1:31:53
  2. 10.
    BI 105 Sanjeev Arora: Off the Convex Path
    1:01:43
  3. 11.
    BI 104 John Kounios and David Rosen: Creativity, Expertise, Insight
    1:50:32
  4. 12.
    BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading
    1:27:26
  5. 13.
    BI 102 Mark Humphries: What Is It Like To Be A Spike?
    1:32:20
  6. 14.
    BI 101 Steve Potter: Motivating Brains In and Out of Dishes
    1:45:22
  7. 15.
    BI 100.6 Special: Do We Have the Right Vocabulary and Concepts?
    50:03
  8. 16.
    BI 100.4 Special: What Ideas Are Holding Us Back?
    1:04:26
  9. 17.
    BI 100.3 Special: Can We Scale Up to AGI with Current Tech?
    1:08:43
  10. 18.
    BI 100.2 Special: What Are the Biggest Challenges and Disagreements?
    1:25:00
  11. 19.
    BI 100.1 Special: What Has Improved Your Career or Well-being?
    42:32
  12. 20.
    BI 099 Hakwan Lau and Steve Fleming: Neuro-AI Consciousness
    1:46:35
  13. 21.
    BI 098 Brian Christian: The Alignment Problem
    1:32:38
  14. 22.
    BI 097 Omri Barak and David Sussillo: Dynamics and Structure
    1:23:57
  15. 23.
    BI 096 Keisuke Fukuda and Josh Cosman: Forking Paths
    1:34:10
  16. 24.
    BI 095 Chris Summerfield and Sam Gershman: Neuro for AI?
    1:25:28
  17. 25.
    BI 094 Alison Gopnik: Child-Inspired AI
    1:19:13
  18. 26.
    BI 093 Dileep George: Inference in Brain Microcircuits
    1:06:31
  19. 27.
    BI 092 Russ Poldrack: Cognitive Ontologies
    1:42:12
  20. 28.
    BI 091 Carsen Stringer: Understanding 40,000 Neurons
    1:28:19
  21. 29.
    BI 090 Chris Eliasmith: Building the Human Brain
    1:38:57
  22. 30.
    BI 089 Matt Smith: Drifting Cognition
    1:26:52
  23. 31.
    BI 088 Randy O'Reilly: Simulating the Human Brain
    1:39:08
  24. 32.
    BI 087 Dileep George: Cloning for Cognitive Maps
    1:23:00
  25. 33.
    BI 086 Ken Stanley: Open-Endedness
    1:35:43
  26. 34.
    BI 085 Ida Momennejad: Learning Representations
    1:43:41
  27. 35.
    BI 084 György Buzsáki and David Poeppel
    1:56:01
  28. 36.
    BI 083 Jane Wang: Evolving Altruism in AI
    1:13:16
  29. 37.
    BI 082 Steve Grossberg: Adaptive Resonance Theory
    2:15:38
  30. 38.
    BI 081 Pieter Roelfsema: Brain-propagation
    1:22:05
  31. 39.
    BI 080 Daeyeol Lee: Birth of Intelligence
    1:31:09
  32. 40.
    BI 079 Romain Brette: The Coding Brain Metaphor
    1:19:04
  33. 41.
    BI 078 David and John Krakauer: Part 2
    1:14:37
  34. 42.
    BI 077 David and John Krakauer: Part 1
    41:11
  35. 43.
    BI 076 Olaf Sporns: Network Neuroscience
    1:45:57
  36. 44.
    BI 075 Jim DiCarlo: Reverse Engineering Vision
    1:16:03
  37. 45.
    BI 074 Ginger Campbell: Are You Sure?
    1:22:35
  38. 46.
    BI 073 Megan Peters: Consciousness and Metacognition
    1:25:10
  39. 47.
    BI 072 Mazviita Chirimuuta: Understanding, Prediction, and Reality
    1:18:53
  40. 48.
    BI 071 J. Patrick Mayo: The Path To Faculty
    1:10:57
  41. 49.
    BI 070 Bradley Love: How We Learn Concepts
    1:47:07
  42. 50.
    BI 069 David Ferrucci: Machines To Understand Stories
    1:26:35

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