1 citations · 2 across the 3 of their papers we have counts for
3 papers
cond-mat.dis-nn2004★ 1 cited
Self-organized annealing in laterally inhibited neural networks shows power law decay
Frank Emmert-Streib
In this paper we present a method which assigns to each layer of a multilayer neural network, whose network dynamics is governed by a noisy winner-take-all mechanism, a neural temp…
cond-mat.dis-nn2003
Bidirectional communication in neural networks moderated by a Hebb-like learning rule
Frank Emmert-Streib
We demonstrate that our recently introduced stochastic Hebb-like learning rule is capable of learning the problem of timing in general network topologies generated by an algorithm…
cond-mat.dis-nn2003★ 1 cited
A novel stochastic Hebb-like learning rule for neural networks
Frank Emmert-Streib
We present a novel stochastic Hebb-like learning rule for neural networks. This learning rule is stochastic with respect to the selection of the time points when a synaptic modific…