Does anyone know of a comparatively recent paper reviewing the literature on psychological applications of recurrent neural networks? I'm looking for a paper which provides a general overview of the use of this class of models (Elman networks, Hopfield networks, Boltzmann machines, localist attractor networks, etc.) in modelling psychological processes.
More practically, I have a line in a draft paper which currently says "A full discussion of this class of models is beyond the scope of the current review (see XXXX), but [...]" and I want to fill in the Xs.
I have Rogers and McClelland's (2004) Semantic Cognition, which is a nice review, but focuses on feed-forward models. Suggestions?