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

Figure 7

The average number of spike activations at each layer of LeNet5. On all test sets of MNIST samples, when using 50 time steps, the accuracy of this method is 99.62%, and the average number of spikes activated per layer under the LeNet5 network architecture is obtained.