Spike-Based Approximate Backpropagation Algorithm of Brain-Inspired Deep SNN for Sonar Target Classification

Figure 9

On all test sets of MNIST samples, when using 70 time steps, the accuracy of this method is 91.11%, and the average number of spikes activated per layer under the LeNet5 network architecture is obtained.