神经形态工程学
记忆电阻器
计算机科学
索马
晶体管
灵活性(工程)
人工神经元
调制(音乐)
非线性系统
人工神经网络
功能(生物学)
神经元
电子工程
材料科学
人工智能
电压
电气工程
神经科学
物理
工程类
统计
数学
量子力学
进化生物学
声学
生物
作者
Huiwu Mao,Yixin Zhu,Shuo Ke,Ying Zhu,Kailu Shi,Xiangjing Wang,Changjin Wan,Qing Wan
摘要
Artificial leaky integrate-and-fire (LIF) neurons have attracted significant attention for building brain-like computing and neuromorphic systems. However, previous artificial LIF neurons have primarily focused on implementing integrate-and-fire function, and the function of dendritic modulation has rarely been reported. In this Letter, a tunable artificial LIF neuron based on an IGZO electric-double-layer (EDL) transistor and a TaOx memristor is fabricated, and dendritic modulation is investigated. An IGZO-based EDL transistor with a modulatory terminal is used to realize dendritic nonlinear integration and filtering capability, as well as the tunable neural excitability. An Ag/TaOx/ITO threshold switching memristor mimics the all-or-nothing spiking and threshold switching of the soma. By incorporating these two components in a customized way, such artificial LIF neuron can emulate the key function of biological neuron with rich computational flexibility. Our artificial LIF neurons with rich nonlinear dynamics have great potential to perform more complex tasks in future spiking neuromorphic systems.
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