14 citations · 17 across the 5 of their papers we have counts for
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cond-mat.dis-nn2003
Finite Connectivity Attractor Neural Networks
B. Wemmenhove, A. C. C. Coolen
We study a family of diluted attractor neural networks with a finite average number of (symmetric) connections per neuron. As in finite connectivity spin glasses, their equilibrium…
cond-mat.dis-nn2003
Combining Hebbian and reinforcement learning in a minibrain model
R. J. C. Bosman, W. A. van Leeuwen, B. Wemmenhove
A toy model of a neural network in which both Hebbian learning and reinforcement learning occur is studied. The problem of `path interference', which makes that the neural net quic…