19 ago 2026
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.
Episodios
Ordenados por fecha de publicación.
5 ago 2026
BI 243 Alison Barth: Learning as a Window to Cortex
15 jul 2026
BI 242 Kathryn Nave: How Life Gets its Meaning and Intelligence
1 jul 2026
BI 241 Johannes Jaeger: Agency and the Cyborg Myth
17 jun 2026
BI 240 Cristopher Moore: Cognition and Computational Complexity
3 jun 2026
BI 239 Nedah Nemati: Naturalistic Neuroscience and Lived Experience
20 may 2026
BI 238 James Harrison: Hypnosis as Mental Foraging
6 may 2026
BI 237 Ehud Ahissar: Consciousness and Perceptual Dualism
22 abr 2026
BI 236 Liset de la Prida: Neurons, Ripples, and Manifolds
8 abr 2026
BI 235 Romain Brette: The Brain, in Theory
25 mar 2026
BI 234 Juan Gallego: The Neural Manifold Manifesto
11 mar 2026
BI 233 Tom Griffiths: The Laws of Thought
25 feb 2026
BI 232 How Should Neuroscience Integrate with Ecological Psychology?
11 feb 2026
BI 231 Jaan Aru: Conscious AI? Not Even Close!
28 ene 2026
BI 230 Michael Shadlen: How Thoughts Become Conscious
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