74 citations · 90 across the 7 of their papers we have counts for
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cs.NE2022
Bio-Inspired, Task-Free Continual Learning through Activity Regularization
Francesco Lässig, Pau Vilimelis Aceituno, Martino Sorbaro +1
The ability to sequentially learn multiple tasks without forgetting is a key skill of biological brains, whereas it represents a major challenge to the field of deep learning. To a…
cs.NE2019★ 2 cited
Optimizing the energy consumption of spiking neural networks for neuromorphic applications
Martino Sorbaro, Qian Liu, Massimo Bortone +1
In the last few years, spiking neural networks have been demonstrated to perform on par with regular convolutional neural networks. Several works have proposed methods to convert a…