New preprint on bioRxiv🚀 www.biorxiv.org/content/10.6... We propose a biologically plausible mechanism that reduces catastrophic forgetting in RNNs, where orthogonal task manifolds emerge from predictive learning. Together with Dr. Toshitake Asabuki @asabukilab.bsky.social at RIKEN CBS
Zihan Liu
@zihan-liu.bsky.social
Computational Neuroscience Incoming PhD student @UTokyo | Research Assistant @RIKEN CBS
Learning sculpts orthogonal task manifolds for continual skill learning in recurrent networks https://www.biorxiv.org/content/10.64898/2026.02.15.705283v1
How can RNNs learn continuously without forgetting? 🧠 Our new preprint shows how a predictive learning rule organizes recurrent dynamics into orthogonal manifolds, reducing task interference. Congrats Zihan @zihan-liu.bsky.social ! www.biorxiv.org/content/10.6...