Single‐Transistor Neuron with Excitatory–Inhibitory Spatiotemporal Dynamics Applied for Neuronal Oscillations

• DOI: 10.1002/adma.202207371
• Publication Date: 2022-10-11T07:55:29Z
• Authors: Hanxi Li; Jiayang Hu; Anzhe Chen; Chenhao Wang; Li Chen; Feng Tian; Jiachao Zhou; Yuda Zhao; Jinrui Chen; Yi Tong; Kian Ping Loh; Yang Xu; Yishu Zhang; Tawfique Hasan; Bin Yu
• Keywords: Neurons; Artificial Intelligence; neuromorphic devices; single-transistor neurons; Neural Networks, Computer; 2D materials; neuronal oscillations

AbstractBrain‐inspired neuromorphic computing systems with the potential to drive the next wave of artificial intelligence demand a spectrum of critical components beyond simple characteristics. An emerging research trend is to achieve advanced functions with ultracompact neuromorphic devices. In this work, a single‐transistor neuron is demonstrated that implements excitatory–inhibitory (E–I) spatiotemporal integration and a series of essential neuron behaviors. Neuronal oscillations, the fundamental mode of neuronal communication, that construct high‐dimensional population code to achieve efficient computing in the brain, can also be demonstrated by the neuron transistors. The highly scalable E–I neuron can be the basic building block for implementing core neuronal circuit motifs and large‐scale architectural plans to replicate energy‐efficient neural computations, forming the foundation of future integrated neuromorphic systems.