A bi-functional three-terminal memristor applicable as an artificial synapse and neuron

• Main Authors: Liu, Lingli, Dananjaya, Putu Andhita, Ang, Calvin Ching Ian, Koh, Eng Kang, Lim, Gerard Joseph, Poh, Han Yin, Chee, Mun Yin, Lee, Calvin Xiu Xian, Lew, Wen Siang
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2024
• Subjects: Physics; Artificial Synapse; Memristor
• Online Access: https://hdl.handle.net/10356/173458
• Institution: Nanyang Technological University

Due to their significant resemblance to the biological brain, spiking neural networks (SNNs) show promise in handling spatiotemporal information with high time and energy efficiency. Two-terminal memristors have the capability to achieve both synaptic and neuronal functions; however, such memristors...