162 citations · 460 across the 16 of their papers we have counts for
3 papers · 1 filter
Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data
Ariane Delrocq, Wu S. Zihan, Guillaume Bellec +1
The brain learns abstract representations of high-dimensional sensory input, but the plasticity rules that enable such learning are unknown. We study biologically plausible algorit…
Can Local Learning Match Self-Supervised Backpropagation?
Wu S. Zihan, Ariane Delrocq, Wulfram Gerstner +1
While end-to-end self-supervised learning with backpropagation (global BP-SSL) has become central for training modern AI systems, theories of local self-supervised learning (local-…
Context selectivity with dynamic availability enables lifelong continual learning
Martin Barry, Wulfram Gerstner, Guillaume Bellec
"You never forget how to ride a bike", -- but how is that possible? The brain is able to learn complex skills, stop the practice for years, learn other skills in between, and still…