175 citations · 564 across the 14 of their papers we have counts for
Showing 2017Show all
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cs.NE2017★ 162 cited
Deep Rewiring: Training very sparse deep networks
Guillaume Bellec, David Kappel, Wolfgang Maass +1
Neuromorphic hardware tends to pose limits on the connectivity of deep networks that one can run on them. But also generic hardware and software implementations of deep learning ru…
q-bio.NC2017★ 2 cited
A dynamic connectome supports the emergence of stable computational function of neural circuits through reward-based learning
David Kappel, Robert Legenstein, Stefan Habenschuss +2
Synaptic connections between neurons in the brain are dynamic because of continuously ongoing spine dynamics, axonal sprouting, and other processes. In fact, it was recently shown…