Brain Inspired

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 intere

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  1. BI 235 Romain Brette: The Brain, in Theory 2:11:00
  2. BI 233 Tom Griffiths: The Laws of Thought 1:40:13
  3. BI 231 Jaan Aru: Conscious AI? Not Even Close! 1:48:03
  4. BI 228 Alex Maier: Laws of Consciousness 1:57:54
  5. Quick Announcement: Complexity Group 6:47