
Primate Brains Separate Stable Rules from Changing Senses — A Blueprint for More Flexible AI
Chinese researchers report that macaque brains form two independent neural representational spaces — one encoding stable decision rules and the other encoding current sensory specifics — enabling rapid transfer of learned rules to new tasks. Published in Nature Communications, the study suggests a biological model that could inform AI architectures for better generalisation and adaptability.


















