distributed representation/pattern-classification algorithms

I read this article for another class, I thought it was good/applicable to our discussions of connectionism/neural networks. It's a recent fMRI study that looked at memory reinstatement. The researchers used pattern association algorithms to look at distributed representations of the brain during cueing/recall. Their results support a more connectionist model of memory encoding citing, for example, that the fusiform face area does contribute to 'face memory' but if such maxima of activation are removed from the representation other areas are just as indicative of the (face) stimulus.