3 papers
cs.LG2026
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-…
cs.LG2026
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…
cs.ET2026
Conductance-dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
Christoph Weilenmann, Hanglin He, Marko MladenoviÄ +6
Modern computers perform pre-defined operations using static memory components, whereas biological systems learn through inherently dynamic, time-dependent processes in synapses an…