Fig. 3
From: Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training
Fashion-MNIST class accuracy relative to the amount of activity and percent of activity that is excitatory across training. Separation is observed between (a) high accuracy networks (>50% maximum overall accuracy) at lower activity levels, and (b) low accuracy networks at high activity levels. (First column) Accuracy convergence curves for all trials colored by E:I ratio. (Second to fifth column) The initial network, after a single epoch of training, after ten epochs of training, and after training is complete (thirty epochs). Each network is represented by 10 points (for the 10 classes of the dataset) and all networks tested from Fig. 1 with E:I ratio of 80:20. Arrows denote the trend of successfully trained classes which exhibit an initial increase in the percent excitatory activity, and then a decline for the remainder of training (indicated with green arrows). Conversely, classes that fail to train are observed to see an initial reduction in the percent excitatory activity (indicated with a grey arrow). Across the successful and unsuccessful networks, successfully trained classes tend toward a lower activity level and higher percent excitatory activity, which is not observed occurring in the unsuccessful networks.
