Special Sessions on Integrated Materials

Integration of Memristor with Capacitor and Resistors to Configure a Physical Kernel for Neuromorphic Applications

Cheol Seong Hwang
Seoul National University

Abstract: The fixed reservoir dynamics in previous physical reservoir computing studies have limited application fields. In this study, temporal kernel computing was implemented with a physical kernel that consisted of a W/HfO2/TiN memristor, a capacitor, and a resistor, in which the kernel dynamics could be arbitrarily controlled by changing the circuit parameters. After the capability of the temporal kernel to identify the static MNIST data was proven, the system was adopted to recognize the sequential data, ultrasound (malignancy of lesions) and electrocardiogram (arrhythmia), that had a significantly different time constant (10 7 vs. 1 s). The suggested system feasibly performed the tasks by simply varying the capacitance and resistance. These functionalities demonstrate the high adaptability of the present temporal kernel compared to the previous ones.[1] The integration processes for the memristor-resistor-capacitor array are also discussed.