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Non-linear data structure extraction using simple hebbian networks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Multivariate Analysis
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PCA Properties of Interneurons
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Unsupervised Hebbian Learning and the Shape of the Neuron Activation Function
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Analysis of the two-dimensional receptive fields learned by the Generalized Hebbian Algorithm in response to random input
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Representation and separation of signals using nonlinear PCA type learning
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Nonlinear Hebbian Algorithms for Sinusoidal Frequency Estimation
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ARTIFICIAL NEURAL NETWORKS
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Learning of robust principal component subspace
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Nonlinear generalizations of principal component learning algorithms
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NEURAL NETWORKS, PRINCIPAL COMPONENTS, AND SUBSPACES
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Stability of Oja's PCA Subspace Rule
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Asymptotics of Graphical Projection Pursuit
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