Driven by these findings, we develop variants of local-SSL (CLAPP++). They reach the performance of BP baselines on CIFAR10, STL-10, Tiny-ImageNet, while also setting new SOTA of local learning rules on these dataset and ImageNet. Bonus: 40-60% less GPU VRAM and shorter wall clock time than BP.
For the comp neuro readers:
CLAPP++ is still a three-factor Hebbian plasticity rule:
plasticity = (neuromodulator) × (dendritic prediction) × (Hebbian term)
When there is direct feedback, the dendritic prediction comes from the top layer — matching findings in neuroscience experiments.
