神经形态工程学
材料科学
突触
二亚胺
终端(电信)
神经促进
光电子学
突触可塑性
计算机科学
人工神经网络
神经科学
人工智能
分子
电信
物理
生物
受体
化学
苝
量子力学
生物化学
作者
Zhichao Xie,Chenyu Zhuge,Yijiao Zhao,Weiping Xiao,Yujun Fu,Dongliang Yang,Shunpeng Zhang,Yingtao Li,Qi Wang,Yazhou Wang,Wan Yue,Iain McCulloch,Deyan He
标识
DOI:10.1002/adfm.202107314
摘要
Abstract Artificial synaptic devices are the basic composition units for neuromorphic computing processors that realize massive parallel computing. However, the n‐type organic transistors have failed to achieve good performance as an artificial synaptic device for neuromorphic computing until now. Here, a vertical three‐terminal n‐type organic artificial synapse (TNOAS) using a lithium ion‐based organic dielectric and the n‐type donor–acceptor (D–A) conjugated polymer‐naphthalene‐1,4,5,8‐tetracarboxylic‐diimide‐thiophene‐vinyl‐thiophene (NDI‐gTVT) as the channel is proposed. The TNOAS achieves nonvolatile conductance modulation with high current density operation (≈10 KA cm −2 ) at low voltage and mimics the basic functions of biological synapses, such as long‐term synaptic plasticity and paired‐pulse facilitation. The minimum energy consumption of a response event triggered by a single action potential is 6.16 pJ, which can be comparable with p‐type counterparts. Moreover, simulation using handwritten digital datasets exhibit a high recognition accuracy of 94%.
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