Table 1 Comparison of the recognition accuracy on the MNIST dataset as a function of the number of columns, standard deviation of log (HRS) and log (LRS), and stuck-at-fault (%).

From: Exploiting defective RRAM array as synapses of HTM spatial pooler with boost-factor adjustment scheme for defect-tolerant neuromorphic systems

# of columns

Standard deviation (σ)

Probability of stuck-at-short (%)

Recognition accuracy (%)

w/o boost factor adjustment

w/ boost factor adjustment

256

1

0

77.9

77.9

0

10

40.6

76.57

1

10

37.4

76.57

1,024

1

0

92.6

92.6

0

10

55.3

91.3

1

10

51.2

91.1

4,096

1

0

95.4

95.4

0

10

64.3

95.2

1

10

61.2

94.5