6 citations · 11 across the 3 of their papers we have counts for
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cs.NE2023★ 5 cited
Brain-inspired learning in artificial neural networks: a review
Samuel Schmidgall, Jascha Achterberg, Thomas Miconi +4
Artificial neural networks (ANNs) have emerged as an essential tool in machine learning, achieving remarkable success across diverse domains, including image and speech generation,…
cs.NE2016★ 6 cited
Learning to learn with backpropagation of Hebbian plasticity
Thomas Miconi
Hebbian plasticity is a powerful principle that allows biological brains to learn from their lifetime experience. By contrast, artificial neural networks trained with backpropagati…