Table 3 Performance of a spiking network on the split-MNIST task in different settings. The table shows the mean and standard deviation of the individual task accuracies and the mean accuracy across tasks over 5 runs after sequential training.

From: Probabilistic metaplasticity for continual learning with memristors in spiking networks

 Task

Baseline

Random consolidation

Decaying probabilistic plasticity

Probabilistic metaplasticity

(Factor=2)

(Factor=5)

(Factor=10)

Task 1

44.31 ± 3.80

48.01 ± 2.77

47.04 ± 1.63

50.11 ± 1.89

73.58 ± 2.80

84.95 ± 3.42

Task 2

53.67 ± 1.42

57.14 ± 0.61

56.39 ± 0.62

94.31 ± 0.27

94.76 ± 0.43

90.20 ± 1.96

Task 3

8.63 ± 1.04

17.73 ± 1.09

22.42 ± 1.53

90.51 ± 0.40

84.59 ± 0.59

72.06 ± 2.60

Task 4

88.32 ± 1.24

96.24 ± 0.55

96.68 ± 0.44

93.59 ± 0.91

82.72 ± 1.39

94.73 ± 0.94

Task 5

97.52 ± 0.32

95.73 ± 0.62

95.17 ± 0.38

48.86 ± 1.66

40.44 ± 1.16

76.54 ± 2.60

Mean

58.49 ± 0.73

62.97 ± 0.56

63.54 ± 0.36

75.47 ± 0.32

75.22 ± 0.79

83.70 ± 0.78