Fig. 4From: Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural networkThe GRU architecture. A GRU supports each recurrent unit to adaptively obtain dependencies of different time scales. The GRU has “update” and “reset” gates to prevent the error flow of information in the unit. Similarly to the LSTM unit, the gates prevent irrelevant inputs and outputsBack to article page