Brain Inspired

A podcast by Paul Middlebrooks

Categories:

Education Technology

127 Episodes

  1. BI 167 Panayiota Poirazi: AI Brains Need Dendrites

    Published: 5/27/2023

  2. BI 166 Nick Enfield: Language vs. Reality

    Published: 5/9/2023

  3. BI 165 Jeffrey Bowers: Psychology Gets No Respect

    Published: 4/12/2023

  4. BI 164 Gary Lupyan: How Language Affects Thought

    Published: 4/1/2023

  5. BI 163 Ellie Pavlick: The Mind of a Language Model

    Published: 3/20/2023

  6. BI 162 Earl K. Miller: Thoughts are an Emergent Property

    Published: 3/8/2023

  7. BI 161 Hugo Spiers: Navigation and Spatial Cognition

    Published: 2/24/2023

  8. BI 160 Ole Jensen: Rhythms of Cognition

    Published: 2/7/2023

  9. BI 159 Chris Summerfield: Natural General Intelligence

    Published: 1/26/2023

  10. BI 158 Paul Rosenbloom: Cognitive Architectures

    Published: 1/16/2023

  11. BI 157 Sarah Robins: Philosophy of Memory

    Published: 1/2/2023

  12. BI 156 Mariam Aly: Memory, Attention, and Perception

    Published: 12/23/2022

  13. BI 155 Luiz Pessoa: The Entangled Brain

    Published: 12/10/2022

  14. BI 154 Anne Collins: Learning with Working Memory

    Published: 11/29/2022

  15. BI 153 Carolyn Dicey-Jennings: Attention and the Self

    Published: 11/18/2022

  16. BI 152 Michael L. Anderson: After Phrenology: Neural Reuse

    Published: 11/8/2022

  17. BI 151 Steve Byrnes: Brain-like AGI Safety

    Published: 10/30/2022

  18. BI 150 Dan Nicholson: Machines, Organisms, Processes

    Published: 10/15/2022

  19. BI 149 William B. Miller: Cell Intelligence

    Published: 10/5/2022

  20. BI 148 Gaute Einevoll: Brain Simulations

    Published: 9/25/2022

2 / 7

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.