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Podcast · Inglés

Brain Inspired

Paul Middlebrooks

Neuroscience and artificial intelligence work better together. I interview experts about their work at the interface of neuroscience and artificial intelligence. The symbiosis of the two fields, how they overlap, 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, consciousness, general AI, spiking neural networks, data science, and a lot more.

Episodes

Ordered by publication date.

Aug 19, 2026

BI 244 Marco Facchin: Philosophy and Science of Biological Brains

Aug 5, 2026

BI 243 Alison Barth: Learning as a Window to Cortex

Jul 15, 2026

BI 242 Kathryn Nave: How Life Gets its Meaning and Intelligence

Jul 1, 2026

BI 241 Johannes Jaeger: Agency and the Cyborg Myth

Jun 17, 2026

BI 240 Cristopher Moore: Cognition and Computational Complexity

Jun 3, 2026

BI 239 Nedah Nemati: Naturalistic Neuroscience and Lived Experience

May 20, 2026

BI 238 James Harrison: Hypnosis as Mental Foraging

May 6, 2026

BI 237 Ehud Ahissar: Consciousness and Perceptual Dualism

Apr 22, 2026

BI 236 Liset de la Prida: Neurons, Ripples, and Manifolds

Apr 8, 2026

BI 235 Romain Brette: The Brain, in Theory

Mar 25, 2026

BI 234 Juan Gallego: The Neural Manifold Manifesto

Mar 11, 2026

BI 233 Tom Griffiths: The Laws of Thought

Feb 25, 2026

BI 232 How Should Neuroscience Integrate with Ecological Psychology?

Feb 11, 2026

BI 231 Jaan Aru: Conscious AI? Not Even Close!

Jan 28, 2026

BI 230 Michael Shadlen: How Thoughts Become Conscious

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