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This lecture explores various examples of applying Oja's learning rule in neural networks, including the Eigenvalue equation, Generalized Hebbian Rule, and specific cases like Turk and Pentland 1991, Brito and Gerstner 2016's receptive fields of natural images, speech signals, and complex cells.