Extended Data Fig. 9: Evaluating the scalability of pattern classification with learned weights. | Nature

Extended Data Fig. 9: Evaluating the scalability of pattern classification with learned weights.

From: Supervised learning in DNA neural networks

Extended Data Fig. 9

Fluorescence kinetics data for 8 test patterns of two classes are shown in two separate plots. Difference between two outputs at the end of the 8-hour experiments are shown in the bar chart, next to the learned weights. In learned weights, gray pixels indicate unused memory bits with no associated molecules. White pixels indicate activatable but not activated memory bits with inhibited activator and inhibited weights that are present throughout training and testing. Colored pixels indicate memory bits activated by training patterns and their labels.

Source data

Back to article page