A continuous-time Hebbian/anti-Hebbian similarity matching network is shown to converge layer by layer to the principal subspace solution, with the slow layer convergence relying on two unproven conjectures.
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Similarity Matching Networks: Hebbian Learning and Convergence Over Multiple Time Scales
A continuous-time Hebbian/anti-Hebbian similarity matching network is shown to converge layer by layer to the principal subspace solution, with the slow layer convergence relying on two unproven conjectures.