A flexible dual-gate hetero-synaptic transistor for spatiotemporal information processing

作者：Xuerong Liu, Cui Sun, Zhecheng Guo, Yuejun Zhang, Zheng Zhang, Jie Shang, Zhicheng Zhong, Xiaojian Zhu, Xue Yu, Run‐Wei Li · 发表于：Nanoscale Advances · 年份：2022 · DOI：10.1039/d2na00146b · 被引用次数：36 · 研究领域：Advanced Memory and Neural Computing、Neuroscience and Neural Engineering、Photoreceptor and optogenetics research

spatiotemporal information integration and storage. We show that electric pulses applied on a single gate or unsynchronized electric pulses applied on dual gates only induce volatile conductance modulation for short-term memory emulation. In contrast, the device integrates the electric pulses coincidently applied on the dual gates in a supralinear manner and exhibits nonvolatile conductance modulation, enabling long-term memory emulation. Further studies prove that artificial neural networks based on such hetero-synaptic transistors can autonomously filter the random noise signals in the dual-gate inputs during spatiotemporal integration, facilitating the formation of accurate and stable memory. Compared to the single-gate synaptic transistor, the classification accuracy of MNIST handwritten digits using the hetero-synaptic transistor is improved from 89.3% to 99.0%. These findings demonstrate the great potential of multi-gate hetero-synaptic transistors in simulating complex spatiotemporal information processing functions and provide new platforms for the design of advanced neuromorphic computing systems.