Successor representation supports structural learning of syllable sequences
Humans efficiently learn the temporal structure of speech, yet the underlying cognitive mechanisms remain unclear. Recent research in visuospatial sequential memory has proposed the successor representation (SR), important in reinforcement learning, which encodes multi-step transitional relationships. To test whether S...
Jiali Liu, Yixiang Wang, Jiayu Feng et al.
· bioRxiv (Cold Spring Harbor... · 0 citations