Class of neural networks where connections between nodes form a directed graph along a temporal sequence. Unlike feedforward networks, in this type of networks a cycle can be formed and this behavior allows to create “internal memory” in order to process sequences of inputs. This makes them applicable to tasks such as handwriting recognition or speech recognition.