Backpropagation in Recurrent Neural Networks differ from that of Artificial Neural Networks in the sense that each node in Recurrent Neural Networks has an additional loop as shown in the following image:
This loop, in essence, incorporates a temporal component into the network. This allows for the capture of sequential information from data, which is impossible with a generic artificial neural network.
