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Kim Stachenfeld on the dance between neuroscience and artificial intelligence

As a researcher at both Google DeepMind and Columbia University, Stachenfeld offers cross-disciplinary insight into how to understand the brain.

By Paul Middlebrooks

11 September 2024 | 92 min watch

https://doi.org/10.53053/BQDG9651 Cite this article

The Transmitter has partnered with “Brain Inspired,” a podcast hosted by Paul Middlebrooks that features in-depth conversations with neuroscientists studying natural and artificial intelligence, philosophy, consciousness and other related areas.

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Kim Stachenfeld embodies the original core focus of this podcast: the exploration of the intersection between neuroscience and AI, now commonly known as neuro-AI. Stachenfeld walks both lines; she’s a senior research scientist at Google DeepMind, the AI company that sprang from neuroscience principles, and she does research at Columbia University’s Center for Theoretical Neuroscience. She has been using her expertise in modeling, reinforcement learning and cognitive maps, for example, to better understand the brain and to help improve AI. I’ve been wanting to have her on the show for a long time to get her broad perspective on AI and neuroscience.

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