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Artificial synapses that exploit ionic modulation for perception and integration
Materials Today Physics ( IF 11.5 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.mtphys.2020.100329
H. Wei , H. Han , K. Guo , H. Yu , J. Gong , M. Ma , Y. Ni , J. Feng , Z. Xu , W. Xu

Abstract We propose the first two-terminal sodium-ion artificial synapse (SIAS) with nanoparticle/electrolyte architecture to emulate behaviors of a biological synapse. The device emulates essential synaptic functions such as postsynaptic current and paired-pulse facilitation by employing sodium-ion doping. The synaptic event uses only 0.55 pW at an ultra-low operating voltage of −6 mV, sensitive responsiveness. Pain perception nociceptors, with pain sensitization/desensitization properties, are realized using SIAS. Artificial neural components with multiple inputs also implement dendritic integration functions such as spatiotemporal learning rules and classical conditional learning. Furthermore, benefiting from the nanostructured active layer and solid-state polymer electrolyte, the flexible device on stainless steel substrate induced different deformation curvatures. The proposed SIAS device with capabilities of parallel information processing and pain perception could apply to future bioinspired flexible sensing-processing nervous systems.

中文翻译:

利用离子调制进行感知和整合的人工突触

摘要 我们提出了第一个具有纳米粒子/电解质结构的两端钠离子人工突触 (SIAS) 来模拟生物突触的行为。该设备通过采用钠离子掺杂来模拟基本的突触功能,例如突触后电流和成对脉冲促进。突触事件在 -6 mV 的超低工作电压下仅使用 0.55 pW,响应灵敏。具有疼痛敏化/脱敏特性的疼痛感知伤害感受器是使用 SIAS 实现的。具有多个输入的人工神经组件还实现了树突集成功能,例如时空学习规则和经典条件学习。此外,得益于纳米结构的活性层和固态聚合物电解质,不锈钢基板上的柔性装置引起不同的变形曲率。所提出的具有并行信息处理和疼痛感知能力的 SIAS 设备可应用于未来的仿生柔性传感处理神经系统。
更新日期:2020-12-01
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