c4e5f4de1b3cfc838eec6484d0b85378-Supplemental-Conference.pdf

During training, RNN-based learning algorithms are forced to unfold through the time axis, as explainedinFigure1andSection2. Asaresult,thecorresponding numberofoperations isatleast O(TMN), where Tisthe total time steps and M, N are the number of input and output neurons. On the other hand, event-based learning algorithms only have to deal with cases where a certain neuron fires aspike, and record the relevant information.