A model of schema learning based on biological dimensionality reduction during sleep
Kensuke Yoshida, Genki Shimizu, Yuri Kinoshita, Kaoru Inokuchi, Taro Toyoizumi
This paper proposes a theoretical model of schema learning through low-dimensional neural representations formed during sleep-driven dimensionality reduction.
bioRxiv · Jun 1, 2026 · PreprintNeuroscience