Published in Nature · View the paper (DOI)
Researchers used machine learning techniques to compress a large model of the visual cortex, creating smaller versions that predict neural responses with high accuracy. The compact models revealed specific computational patterns in how neurons detect important features, offering insights into how visual information is processed.
Coverage from 2 institutions
- Small models, big insights into vision College of Engineering, Carnegie Mellon University · Feb 25, 2026 · first to report
- AI, monkey brains, and the virtue of small thinking Cold Spring Harbor Laboratory · Feb 25, 2026