I'm not very familiar with the ins and outs of hebbian learning, but it seems it was pretty important in the earlier days of neural networks, Oja showed it could be used to get PCA from linear networks. Is it pretty much excluded from researcher's menu's these days, or have there been some newer exciting developments with respect to it?
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