Artificial Neuron using Vertical MoS₂/Graphene Threshold Switching Memristors.

ABSTRACT: With the ever-increasing demand for low power electronics, neuromorphic computing has garnered huge interest in recent times. Implementing neuromorphic computing in hardware will be a severe boost for applications involving complex processes such as image processing and pattern recognition. Artificial neurons form a critical part in neuromorphic circuits, and have been realized with complex complementary metal-oxide-semiconductor (CMOS) circuitry in the past. Recently, metal-insulator-transition materials have been used to realize artificial neurons. Although memristors have been implemented to realize synaptic behavior, not much work has been reported regarding the neuronal response achieved with these devices. In this work, we use the volatile threshold switching behavior of a vertical-M

SUBMITTER: Kalita H 

PROVIDER: S-EPMC6328611 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature