A gate-tunable memristor emulator for motion detection

Authors：Zhang, Zhang; Ma, Yongbo; Shi, Gang; Li, Chao; Liu, Gang^*

Source：International Journal of Circuit Theory and Applications, 2023.

DOI：10.1002/cta.3888

• emulator
• gate-tunable memristor
• memristor model
• motion detection

With its low power consumption and small size, the memristor has shown great potential for improving data storage density and computing efficiency. Compared to the dual-port memristor, greater attention should be paid to researching gate-tunable memristor for image processing to improve the processing speed and reduce hardware resource consumption. Developing gate-tunable memristor emulators is highly attractive given the immaturity of current fabrication of the gate-tunable memristor. This work proposes a digital gate-tunable memristor emulator based on Raspberry Pi, which addresses the non-reconfigurability and inflexibility issues of the analog emulators. The proposed emulator can match the behavior of different memristor devices by regulating the gate voltage parameter. Additionally, it can operate at a maximum frequency of 500 MHz. To test the functionality of the proposed emulator, a digital implementation of the memristive circuit for motion detection is designed and verified experimentally. Experiments demonstrate that when moving object detection is performed on a 640 x 350 pixel video stream, low power consumption of 53 mW and a delay of 3.52 mu s can be achieved. @@@ This paper proposes a digital gate-tunable memristor model based on Raspberry PI that matches the behavior of different memristor devices. Comprehensive verification with Raspberry PI 4B is used to demonstrate the benefits of the model. A gate-tunable memristor crossbar array is constructed for moving object detection with low power consumption of 53 mW and a delay of 3.52 mu s.image

• Institution
  上海交通大学