Does a recent general review of recurrent neural networks exist? 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?
There may not be a single paper that reviews all models, but I have listed some articles and books below that may meet your needs. 

Asakawa, Shinichi. (2003). Psychological applicability of simple recurrent neural networks. Japanese Psychological Review, 46(2), 274-287. 

De Mulder, W., Bethard, S., &amp; Moens, M. F. (2015). A survey on the application of recurrent neural networks to statistical language modeling. Computer Speech &amp; Language, 30(1), 61-98.

Jacobsson, H. (2005). Rule extraction from recurrent neural networks: A taxonomy and review. Neural Computation, 17(6), 1223-1263.

Rojas, R. (2013). Neural networks: a systematic introduction. Springer Science &amp; Business Media.

Subathra, B., &amp; Radhakrishnan, T. K. (2012). Recurrent neuro fuzzy and fuzzy neural hybrid networks: a review. Instrumentation Science &amp; Technology, 40(1), 29-50.

Suykens, J. A., Vandewalle, J. P., &amp; de Moor, B. L. (2012). Artificial neural networks for modelling and control of non-linear systems. Springer Science &amp; Business Media.

Zhang, H., Wang, Z., &amp; Liu, D. (2014). A comprehensive review of stability analysis of continuous-time recurrent neural networks. Neural Networks and Learning Systems, IEEE Transactions on, 25(7), 1229-1262.