53 citations · 98 across the 9 of their papers we have counts for
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cond-mat.dis-nn2020
Unfolding recurrence by Green's functions for optimized reservoir computing
Sandra Nestler, Christian Keup, David Dahmen +3
Cortical networks are strongly recurrent, and neurons have intrinsic temporal dynamics. This sets them apart from deep feed-forward networks. Despite the tremendous progress in the…
cond-mat.dis-nn2019★ 7 cited
Capacity of the covariance perceptron
David Dahmen, Matthieu Gilson, Moritz Helias
The classical perceptron is a simple neural network that performs a binary classification by a linear mapping between static inputs and outputs and application of a threshold. For…