790 citations · 2k across the 26 of their papers we have counts for
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PyTorch-Hebbian: facilitating local learning in a deep learning framework
Jules Talloen, Joni Dambre, Alexander Vandesompele
Recently, unsupervised local learning, based on Hebb's idea that change in synaptic efficacy depends on the activity of the pre- and postsynaptic neuron only, has shown potential a…
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping
Matthias Freiberger, Peter Bienstman, Joni Dambre
Photonic reservoir computing is a promising candidate for low-energy computing at high bandwidths. Despite recent successes, there are bounds to what one can achieve simply by maki…
Memristor models for machine learning
Juan Pablo Carbajal, Joni Dambre, Michiel Hermans +1
In the quest for alternatives to traditional CMOS, it is being suggested that digital computing efficiency and power can be improved by matching the precision to the application. M…