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Reduced Graphene Oxide-Based Artificial Synapse Yarns for Wearable Textile Device Applications

机译:用于可穿戴纺织设备的还原型石墨烯氧化物人工突触纱

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摘要

A brain-inspired neuromorphic system is a promising computing concept that processes information at low power. Such systems can be applied to wearable devices in which low power consumption is important. Solid-state devices that have been used for neuromorphic device applications are not suitable for wearable applications that require high flexibility. Here, two-terminal memristor-based artificial synapses are proposed that are simply constructed by crossing two yarns coated with reduced graphene oxide (RGO) by electrochemical deposition. The artificial synapses mimic several important synaptic functions of biological synapses, including excitatory postsynaptic current, paired-pulse facilitation, and a transition from short-term plasticity to long-term plasticity. The artificial synapses can be operated stably without degradation during mechanical bending. By implementing a 2 x 2 cross-point array using RGO-coated yarns, the possibility of integrating artificial synapses for wearable neuromorphic systems is demonstrated. The yarn-based artificial synapses can be a key component of future neuromorphic wearable systems.
机译:受大脑启发的神经形态系统是一种有前途的计算概念,可以低功耗处理信息。这样的系统可以应用于低功耗很重要的可穿戴设备。已经用于神经形态设备应用的固态设备不适合需要高灵活性的可穿戴应用。在此,提出了基于两末端忆阻器的人工突触,该突触是通过通过电化学沉积使涂覆有还原性氧化石墨烯(RGO)的两条纱线交叉而简单构造的。人工突触模仿生物突触的几个重要的突触功能,包括兴奋性突触后电流,成对脉冲促进以及从短期可塑性向长期可塑性的转变。人造突触可以稳定地操作,而不会在机械弯曲过程中退化。通过使用涂有RGO的纱线实现2 x 2交叉点阵列,证明了为可穿戴神经形态系统集成人工突触的可能性。基于纱线的人工突触可能是未来神经形态可穿戴系统的关键组成部分。

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