Extended Data Fig. 2: An alternative, CNN-Based computing with the memristive SoC for the 4×4 sensor data recognition.

a. CNN-based computing. The combination of the sensor array and the connection circuitry converts the time-related trail information into the voltage amplitude. These pixels with different voltage amplitudes will be treated as images, and we train a CNN for that application. Different kernel information and the weight information in the fully connected layer are programmed into the memristive array for inference. b. CNN structure for this 3-letter recognition task c. the block division of the memristive array. d. Conductance map of the target and actual weight mapping of the CNN. e. Accuracy of the 3-letter recognition task. It reaches 100 percent accuracy for both software and hardware results.