Network: Computation in Neural Systems, Volume 10, Issue 1 (1999)

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Network: Computation in Neural Systems, Volume 10, Issue 1 (1999)

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Original Article

Article
Leap-frog is a robust algorithm for training neural networks
Johann E W Holm & Elizabeth C Botha
Pages: 1-13
Published online: 09 Jul 2009
AbstractforLeap-frog is a robust algorithm for training neural networks | References | PDF (310.8 KB)
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Article
Sparsification from dilute connectivity in a neural network model of memory
Miguel Maravall
Pages: 15-39
Published online: 09 Jul 2009
AbstractforSparsification from dilute connectivity in a neural network model of memory | References | PDF (245.8 KB)
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Article
Do cortical maps adapt to optimize information density?
M D Plumbley
Pages: 41-58
Published online: 09 Jul 2009
AbstractforDo cortical maps adapt to optimize information density? | References | PDF (159.8 KB)
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Article
Computational differences between asymmetrical and symmetrical networks
Zhaoping Li & Peter Dayan
Pages: 59-77
Published online: 09 Jul 2009
AbstractforComputational differences between asymmetrical and symmetrical networks | References | PDF (792.2 KB)
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Article
Alpha rhythm emerges from large-scale networks of realistically coupled multicompartmental model cortical neurons
David T J Liley, David M Alexander, James J Wright & Mathew D Aldous
Pages: 79-92
Published online: 09 Jul 2009
AbstractforAlpha rhythm emerges from large-scale networks of realistically coupled multicompartmental model cortical neurons | References | PDF (1.9 MB)
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Article
Model-independent mean-field theory as a local method for approximate propagation of information
M Haft, R Hofmann & V Tresp
Pages: 93-105
Published online: 09 Jul 2009
AbstractforModel-independent mean-field theory as a local method for approximate propagation of information | References | PDF (167.9 KB)
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