Fig. 3: Pattern classification with activatable memories.
a–c, Test patterns selected based on their positions in the weighted sum space for three distinct pairs of MNIST handwritten digits: 0 and 1 (a), 3 and 4 (b), and 6 and 7 (c). Weights are determined as the average of ten training patterns per class. The entire test dataset is shown in light grey. Test patterns within a 20% margin to the diagonal line (s1 = s2) are excluded for experimental feasibility. d,e, Fluorescence kinetics experiments with 12 test patterns per class on activated memories of 0 and 1 in memory 1 and 2 (d), respectively, or swapped in memory 2 and 1 (e). The difference between two output concentrations (Y1 − Y2) at the end of the experiments is shown for all test patterns sorted according to their distance to the diagonal line in the weighted sum space. For the left set of patterns, the distance decreases from left to right; for the right set of patterns, the distance increases. f–i, Endpoint data for testing activated memories of 3 and 4 in memory 1 and 2 (f), respectively, or swapped in memory 2 and 1 (g) or 6 and 7 in memory 1 and 2 (h), respectively, or swapped in memory 2 and 1 (i).
