Similarity-based cost functions can generate online neural networks with local Hebbian and anti-Hebbian learning rules for PCA, sparse coding, nonnegative source separation, clustering, and manifold tiling, but this manuscript is a review of earlier work.
A hebbian/anti-hebbian neural network for linear subspace learning: A derivation from multidimensional scaling of streaming data,
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Neuroscience-inspired online unsupervised learning algorithms
Similarity-based cost functions can generate online neural networks with local Hebbian and anti-Hebbian learning rules for PCA, sparse coding, nonnegative source separation, clustering, and manifold tiling, but this manuscript is a review of earlier work.