> It has been previously proposed that non-linear properties of dendrites enable neurons to recognize multiple patterns. In this paper we extend this idea by showing that a neuron with several thousand synapses arranged along active dendrites can learn to accurately and robustly recognize hundreds of unique patterns of cellular activity, even in the presence of large amounts of noise and pattern variation.

I didn't RTA, and I'm clearly no expert, but what surprises me here is that a single neuron can apparently "learn" patterns. I was previously under the impression that only networks-of-neurons could learn patterns (as in artificial neural networks). Does this mean that the ANN community should rethink their mimetic approach?