Extended Data Fig. 5: A winner-take-all DNA neural network that recognizes 100-bit patterns as one of two handwritten digits.
From: Scaling up molecular pattern recognition with DNA-based winner-take-all neural networks
a, Choosing the test input patterns on the basis of their locations in the weighted-sum space. b, Overlap between the two memories: ‘6’ and ‘7’. c, 36 test patterns with the number of flipped bits shown next to their weighted sums. d, Recognizing handwritten digits with up to 30 flipped bits compared to the perfect digits. Dotted lines indicate fluorescence kinetics data and solid lines indicate simulation. The standard concentration is 100 nM. Initial concentrations of all species are listed in Extended Data Fig. 10. The input pattern is shown in each plot. Note that 40 is the maximum number of flipped bits because all patterns have exactly 20 1s.
