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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Эпизоды

164 эпизода

  1. BI 246 Andrea Gambarotto: Cognition Requires Agency 1:58:01
  2. BI 243 Alison Barth: Learning as a Window to Cortex 1:40:08
  3. BI 241 Johannes Jaeger: Agency and the Cyborg Myth 1:37:08
  4. BI 238 James Harrison: Hypnosis as Mental Foraging 1:46:32
  5. BI 237 Ehud Ahissar: Consciousness and Perceptual Dualism 1:42:25
  6. BI 236 Liset de la Prida: Neurons, Ripples, and Manifolds 1:44:02
  7. BI 235 Romain Brette: The Brain, in Theory 2:11:00
  8. BI 234 Juan Gallego: The Neural Manifold Manifesto 2:01:31
  9. BI 233 Tom Griffiths: The Laws of Thought 1:40:13
  10. BI 231 Jaan Aru: Conscious AI? Not Even Close! 1:48:03
  11. BI 230 Michael Shadlen: How Thoughts Become Conscious 1:48:30
  12. BI 228 Alex Maier: Laws of Consciousness 1:57:54
  13. BI 213 Representations in Minds and Brains 2:07:09
  14. BI 209 Aran Nayebi: The NeuroAI Turing Test 1:43:59
  15. Quick Announcement: Complexity Group 6:47