具有近红外视觉与触觉融合感知的自供电仿生神经形态系统

    Self-powered biomimetic neuromorphic system enabling near-infrared visual and tactile fusion sensing

    • 针对黑暗以及弱光环境下单一感知通道易退化及传统“传感–存储–计算”分离架构带来的高能耗与数据搬运开销,加剧冯·诺依曼瓶颈等问题,提出并实现了一种自供电仿生多模态神经形态感知系统(SP-BMNS),实现近红外视觉与触觉的协同感知与信息融合。制备了一种以PDVT-10为沟道层、PVP:PbS量子点为浮栅层、Al2O3为介质层的浮栅型光电突触器件,同时将该器件与柔性摩擦纳米发电机(Triboelectric Nanogenerator,TENG)进行集成。借助TENG产生的输出脉冲,能够同步实现自供电触觉输入、器件的事件触发调控以及权重更新。对比了器件在暗态环境与850 nm近红外光激发下的性能表现,研究了双向电压扫描迟滞特征、兴奋性突触后电流响应以及电流权重更新的线性度等关键神经形态指标。测试结果表明,近红外光刺激使得器件导通电流提高约259%,关断电流降低约68%,电流动态范围得到显著扩展;在多脉冲作用下,兴奋性突触后电流(Excitatory Post-Synaptic Current, EPSC)峰值上升约81%,非线性度下降约50%,展现出近红外光增强的突触响应与更优的权重调制线性特征。TENG在受到1 N压力刺激时,可输出4.7 μA短路电流、75 V开路电压以及37 nC转移电荷,能够稳定支撑权重的重复更新操作。总而言之,研究工作证实了红外信号“传感–存储–计算”一体化处理与自供电多模态融合增强,为低功耗、多模态神经形态感知硬件在智能机器人、可穿戴设备及环境交互节点等场景中的应用,提供了切实可行的器件与系统参考案例。

       

      Abstract:
      Objective In unstructured scenarios such as nighttime operation, underground environments, disaster rescue, and dusty or smoky industrial sites, imaging-based vision is severely degraded by insufficient illumination and scattering media, leading to reduced recognition confidence or even failure. Tactile perception is illumination-independent and can provide reliable local mechanical cues, yet it is intrinsically limited in spatial coverage. Therefore, hardware-level visuo-tactile fusion with low power consumption is highly desirable for robust perception in low-light environments.
      Methods A self-powered biomimetic neuromorphic system for near-infrared (NIR) vision–tactile fusion perception was developed, in which a flexible triboelectric nanogenerator (TENG) was integrated with a floating-gate optoelectronic synaptic device (Fig.1). In the optoelectronic synaptic device, PbS quantum dots were introduced as an NIR-absorbing photosensitive charge-trapping layer, enabling NIR photoexcitation to be converted into retainable trapped charges in the floating gate. To realize self-powered tactile input, the TENG was fabricated based on a flexible PDMS elastomer and Ag nanowire electrodes, and a PDMS/MXene composite triboelectric layer was incorporated to generate high-amplitude voltage pulse. The TENG output pulses were directly used as gate-modulation signals for the synaptic device to enable event triggering and current-based weight updates.
      Results and Discussion  The device performance was systematically compared under dark conditions and under 850nm near-infrared illumination, with particular emphasis on key neuromorphic metrics including bidirectional voltage-sweep hysteresis, excitatory postsynaptic current (EPSC) responses, and the linearity of current-based weight updates. The results show that NIR stimulation increases the on-state current by approximately 259% while reducing the off-state current by about 68% (Fig.3(a)), thereby significantly expanding the current dynamic range. Under multi-pulse excitation, the EPSC peak rises by about 81% and the nonlinearity decreases by about 50% (Fig.4(d)), demonstrating NIR-enhanced synaptic responses and improved linearity of conductance modulation. Meanwhile, upon tactile stimulation, the triboelectric nanogenerator (TENG) delivers a short-circuit current of 4.7 μA, an open-circuit voltage of 75 V, and a transferred charge of 37 nC (Fig.2(d)), which can reliably support repeated weight-update operations.
      Conclusions By co-designing a PbS-QD floating-gate infrared optoelectronic synaptic device and a flexible TENG, this work demonstrates a self-powered biomimetic multimodal neuromorphic system capable of NIR “visual” sensing, tactile self-powered input, and hardware-level spatiotemporal fusion with synaptic plasticity. The proposed SP-BMNS offers a feasible device–system paradigm for robust low-light perception and edge intelligence, with potential applications in low-illumination target recognition, robotic electronic skin, wearable human–machine interaction, and ambient interactive sensing nodes.

       

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