Figure 2From: Novel local learning rule for neural adaptation fits Hopfield memory networks efficiently and optimallyNoisy data storage. Shows fraction of patterns (red for MPF, blue for PER) and fraction of bits (dotted red for MPF, dotted blue for PER) recalled of trained networks (n = 64 nodes each) as a function of the number of patterns m to be stored. Training patterns were presented repeatedly with 20 bit corruption (i.e., 31% of the bits flipped).Back to article page