154 Folgen

  1. BI 174 Alicia Juarrero: Context Changes Everything

    Vom: 13.9.2023

  2. BI 173 Justin Wood: Origins of Visual Intelligence

    Vom: 30.8.2023

  3. BI 172 David Glanzman: Memory All The Way Down

    Vom: 7.8.2023

  4. BI 171 Mike Frank: Early Language and Cognition

    Vom: 22.7.2023

  5. BI 170 Ali Mohebi: Starting a Research Lab

    Vom: 11.7.2023

  6. BI 169 Andrea Martin: Neural Dynamics and Language

    Vom: 28.6.2023

  7. BI 168 Frauke Sandig and Eric Black w Alex Gomez-Marin: AWARE: Glimpses of Consciousness

    Vom: 2.6.2023

  8. BI 167 Panayiota Poirazi: AI Brains Need Dendrites

    Vom: 27.5.2023

  9. BI 166 Nick Enfield: Language vs. Reality

    Vom: 9.5.2023

  10. BI 165 Jeffrey Bowers: Psychology Gets No Respect

    Vom: 12.4.2023

  11. BI 164 Gary Lupyan: How Language Affects Thought

    Vom: 1.4.2023

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

    Vom: 20.3.2023

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

    Vom: 8.3.2023

  14. BI 161 Hugo Spiers: Navigation and Spatial Cognition

    Vom: 24.2.2023

  15. BI 160 Ole Jensen: Rhythms of Cognition

    Vom: 7.2.2023

  16. BI 159 Chris Summerfield: Natural General Intelligence

    Vom: 26.1.2023

  17. BI 158 Paul Rosenbloom: Cognitive Architectures

    Vom: 16.1.2023

  18. BI 157 Sarah Robins: Philosophy of Memory

    Vom: 2.1.2023

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

    Vom: 23.12.2022

  20. BI 155 Luiz Pessoa: The Entangled Brain

    Vom: 10.12.2022

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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.

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