Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks
arXiv:2604.24637v2 Announce Type: replace
Abstract: Block-sequential continual learning demands that a single model both protect prior solutions from catastrophic forgetting and efficiently infer at inference time which prior solution matches the curr…