Long-Horizon associative learning as a unifying framework for statistical learning across scales
Lucas Benjamin, Ana Fló, Fosca Al Roumi, Ghislaine Dehaene‐Lambertz
This paper introduces a unifying framework for statistical learning across temporal scales, showing a single mechanism can capture both local and higher-order patterns in data.
Proceedings of the National Academy of Sciences · Jul 28, 2026Peer-reviewedNeuroscience