108 citations · 177 across the 2 of their papers we have counts for
2 papers
cs.NE2014★ 69 cited
Random Walk Initialization for Training Very Deep Feedforward Networks
David Sussillo, L. F. Abbott
Training very deep networks is an important open problem in machine learning. One of many difficulties is that the norm of the back-propagated error gradient can grow or decay expo…
cond-mat.dis-nn2014★ 108 cited
Dynamics of Random Neural Networks with Bistable Units
Merav Stern, Haim Sompolinsky, L. F. Abbott
We construct and analyze a rate-based neural network model in which self-interacting units represent clusters of neurons with strong local connectivity and random inter-unit connec…