Brain Inspired
Paul Middlebrooks
Topics: Natural Sciences · Technology · Education
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,...
Latest episodes
- BI 248 Andrea Hiott: The Navigational Approach to the Mind
- BI 247 Maxim Raginsky: A Control Theory View on Brains and AI
- BI 246 Andrea Gambarotto: Cognition Requires Agency
- BI 245 Dan Levenstein: Neuro-AI, Dynamics, and Model Systems
- BI 244 Marco Facchin: Philosophy and Science of Biological Brains
- BI 243 Alison Barth: Learning as a Window to Cortex
- BI 242 Kathryn Nave: How Life Gets its Meaning and Intelligence
- BI 241 Johannes Jaeger: Agency and the Cyborg Myth
- BI 240 Cristopher Moore: Cognition and Computational Complexity
- BI 239 Nedah Nemati: Naturalistic Neuroscience and Lived Experience
Brain Inspired is No. 179 in Science on Apple Podcasts in the UK today. The latest episode came out on October 21, 2026. A new episode comes out about every two weeks.
Today's places
| Chart | Place | Since yesterday |
|---|---|---|
| UK: Science | 179 | New |
Also on: Apple Podcasts · Podcast website