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.
- Update frequency
- every 12 days
- Average duration
- 89 minutes
- Episodes
- 133
- Years Active
- 2021 - 2025
BI 121 Mac Shine: Systems Neurobiology
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Mac and I discuss his systems level approach to understanding brains, and his theoretical work suggesting…
BI 120 James Fitzgerald, Andrew Saxe, Weinan Sun: Optimizing Memories
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James, Andrew, and Weinan discuss their recent theory about how the brain might use complementary learnin…
BI 119 Henry Yin: The Crisis in Neuroscience
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Henry and I discuss why he thinks neuroscience is in a crisis (in the Thomas Kuhn sense of scientific par…
BI 118 Johannes Jäger: Beyond Networks
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Johannes (Yogi) is a freelance philosopher, researcher & educator. We discuss many of the topics in his o…
BI 117 Anil Seth: Being You
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Anil and I discuss a range of topics from his book, BEING YOU A New Science of Consciousness. Anil lays o…
BI 116 Michael W. Cole: Empirical Neural Networks
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Mike and I discuss his modeling approach to study cognition. Many people I have on the podcast use deep neu…
BI 115 Steve Grossberg: Conscious Mind, Resonant Brain
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Steve and I discuss his book Conscious Mind, Resonant Brain: How Each Brain Makes a Mind. The book is a …
BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind
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Mark and Mazviita discuss the philosophy and science of mind, and how to think about computations with resp…
BI 113 David Barack and John Krakauer: Two Views On Cognition
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David and John discuss some of the concepts from their recent paper Two Views on the Cognitive Brain, in wh…
BI 112 Ali Mohebi and Ben Engelhard: The Many Faces of Dopamine
BI 112:
Ali Mohebi and Ben Engelhard
The Many Faces of DopamineAnnouncement:
Ben has started his new lab and is recruiting grad students.
Check out his lab here and appl…
BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness
Erik, Kevin, and I discuss... well a lot of things.
Erik's recent novel The Revelations is a story about a group of neuroscientists trying to develop a good theory of consciousness (with a murder…
BI NMA 02: Dynamical Systems Panel
Panelists:
This is the second in a series of panel discussions in…
BI NMA 01: Machine Learning Panel
Panelists:
This is the first in a series of panel discussions in collaboration with Neuromatch Academy, the online c…
BI 110 Catherine Stinson and Jessica Thompson: Neuro-AI Explanation
Catherine, Jess, and I use some of the ideas from their recent papers to discuss how different types of explanations in neuroscience and AI could be unified into explanations of intelligence, natural…
BI 109 Mark Bickhard: Interactivism
Mark and I discuss a wide range of topics surrounding his Interactivism framework for explaining cognition. Interactivism stems from Mark's account of representations and how what we represent in our…