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Brain Inspired

By Paul Middlebrooks

Neuroscience and artificial intelligence work better together. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more. The symbiosis of these overlapping, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include, 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.

  1. 1.
    BI 029 Paul Humphreys & Zac Irving: Emergence & Mind Wandering03/06/2019
  2. 2.
    BI 028 Sam Gershman: Free Energy Principle & Human Machines02/19/2019
  3. 3.
    BI 027 Ioana Marinescu & Konrad Kording: Causality in Quasi-Experiments02/11/2019
  4. 4.
    BI 026 Kendrick Kay: A Model By Any Other Name01/30/2019
  5. 5.
    BI 025 John Krakauer: Understanding Cognition01/25/2019
  6. 6.
    BI 024 Tim Behrens: Cognitive Maps01/15/2019
  7. 7.
    BI 023 Marcel van Gerven: Mind Decoding with GANs12/27/2018
  8. 8.
    BI 022 Melanie Mitchell: Complexity, and AI Shortcomings12/18/2018

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