Brain Inspired by Paul Middlebrooks

Brain Inspired

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.

Categoría: Ciencia y Medicina
  • 138 
    - BI 121 Mac Shine: Systems Neurobiology
    Thu, 02 Dec 2021
  • 137 
    - BI 120 James Fitzgerald, Andrew Saxe, Weinan Sun: Optimizing Memories
    Sun, 21 Nov 2021
  • 136 
    - BI 119 Henry Yin: The Crisis in Neuroscience
    Thu, 11 Nov 2021
  • 135 
    - BI 118 Johannes Jäger: Beyond Networks
    Mon, 01 Nov 2021
  • 134 
    - BI 117 Anil Seth: Being You
    Tue, 19 Oct 2021
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