Feeding output of LSTM layer of previous timestep to input of Dense layer of current timestep (Keras, Tensorflow)

Question

I am trying to recreate a RNN whose graph is fig. 8 in this paper by K. Yeo et al.

So far I have simply used layers as described in the Keras functional API: