Fig. 4
From: Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training
Representative activity of three 50:50 Fashion-MNIST trials. The examples cover (a) low initial activity, (b) moderate initial activity, and (c) higher initial activity. The average number of excitatory (first row) and inhibitory (second row) spikes per image denoting the number of spikes generated by the hidden layer on average given any input image in the Fashion-MNIST dataset. Each line represents a different class with the black line noting the average across all classes. The percentage of excitatory spikes across training (third row) indicates the initial increase in proportional excitatory activity, followed by a decrease for the remainder of training in the low and moderate initial activity conditions. The adjustment of activity from the network training perspective, derived from the weight distributions before (fourth row) and after (fifth row) training. The accuracy convergence curve of each individual trial is included as the inset of the post-training weights.
