NeurosciencebioRxivPreprint
Learning sculpts orthogonal task manifolds for continual skill learning in recurrent networks
Zihan Liu, Anno Christopher Kurth, Yuma Osako, Toshitake Asabuki
This paper shows that recurrent neural networks can learn new tasks without forgetting old ones by preserving task-specific latent dynamics through orthogonal task manifolds.
DOI 10.64898/2026.02.15.705283