神经形态工程学
突触
材料科学
记忆电阻器
计算机科学
超细纤维
冯·诺依曼建筑
内容寻址存储器
人工神经网络
人工智能
神经科学
电子工程
生物
操作系统
工程类
复合材料
作者
Liyan Dong,Shuai Yuan,Guodong Wei,Peifen Zhu,Shufang Ma,Bingshe Xu,Ya Yang
出处
期刊:Small
[Wiley]
日期:2023-11-14
卷期号:20 (13): e2306998-e2306998
被引量:26
标识
DOI:10.1002/smll.202306998
摘要
Memristor-based artificial synapses are regarded as the most promising candidate to develop brain-like neuromorphic network computers and overcome the bottleneck of Von-Neumann architecture. Violet phosphorus (VP) as a new allotrope of available phosphorus with outstanding electro-optical properties and stability has attracted more and more attention in the past several years. In this study, large-scale, high-yield VP microfiber vertical arrays have been successfully developed on a Sn-coated graphite paper and are used as the memristor functional layers to build reliable, low-power artificial synaptic devices. The VP devices can well mimic the major synaptic functions such as short-term memory (STM), long-term memory (LTM), paired-pulse facilitation (PPF), spike timing-dependent plasticity (STDP), and spike rate-dependent plasticity (SRDP) under both electrical and light stimulation conditions, even the dendritic synapse functions and simple logical operations. By virtue of the excellent performance, the VP artificial synapse devices can be conductive to building high-performance optic-neural synaptic devices simulating the human-like optic nerve system. On this basis, Pavlov's associative memory can be successfully implemented optically. This study provides a promising approach for the design and manufacture of VP-based artificial synaptic devices and outlines a direction with multifunctional neural devices.
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