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. 2018 Oct 12;115(44):E10467–E10475. doi: 10.1073/pnas.1803839115

Fig. 4.

Fig. 4.

Similar to Fig. 2, except showing the mean image classification accuracy for the ImageNet dataset split into 100 sequentially trained sections. (A) The dashed black, green, and magenta curves represent the mean accuracies for multihead networks without synaptic stabilization, with EWC or synaptic intelligence, respectively. The solid black, green, and magenta curves represent the mean accuracies for nonmultihead networks without synaptic stabilization, with EWC or synaptic intelligence, respectively. All further results involve nonmultihead networks. (B) The solid green and magenta curves represent the mean accuracies for networks with EWC or synaptic intelligence, respectively (same as in A). The dashed green and magenta curves represent the mean accuracies for networks with a context signal combined with EWC or synaptic intelligence, respectively (C) The dashed green and magenta curves represent the mean accuracies for networks with a context signal combined with EWC or synaptic intelligence, respectively (same as in B). The solid green and magenta curves represent the mean accuracies for split networks, with a context signal combined with EWC or synaptic intelligence, respectively. (D) The black curve represents the mean accuracy for networks with XdG used alone. The solid green and magenta curves represent the mean accuracies for networks with EWC or synaptic intelligence, respectively (same as in A). The dashed green and magenta curves represent the mean accuracies for networks with XdG combined with EWC or synaptic intelligence, respectively. SI, synaptic intelligence.