Brain Inspired

Paul Middlebrooks

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About

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...

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Recent episodes

  • BI 248 Andrea Hiott: The Navigational Approach to the MindOct 21, 2026 · 1 hr 37 min
  • BI 247 Maxim Raginsky: A Control Theory View on Brains and AIOct 7, 2026 · 1 hr 48 min
  • BI 246 Andrea Gambarotto: Cognition Requires AgencySep 16, 2026 · 1 hr 58 min
  • BI 245 Dan Levenstein: Neuro-AI, Dynamics, and Model SystemsSep 2, 2026 · 1 hr 36 min
  • BI 244 Marco Facchin: Philosophy and Science of Biological BrainsAug 19, 2026 · 1 hr 30 min
  • BI 243 Alison Barth: Learning as a Window to CortexAug 5, 2026 · 1 hr 40 min
  • BI 242 Kathryn Nave: How Life Gets its Meaning and IntelligenceJul 15, 2026 · 1 hr 45 min
  • BI 241 Johannes Jaeger: Agency and the Cyborg MythJul 1, 2026 · 1 hr 37 min
  • BI 240 Cristopher Moore: Cognition and Computational ComplexityJun 17, 2026 · 1 hr 42 min
  • BI 239 Nedah Nemati: Naturalistic Neuroscience and Lived ExperienceJun 3, 2026 · 1 hr 54 min

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