Scholarlink

<p>Neuromorphic hardware that accurately simulates diverse neuronal behaviours could be of use in the development of edge intelligence. Hardware that incorporates synaptic plasticity—adaptive changes that strengthen or weaken synaptic connections—has been explored, but mimicking the full spectrum of learning and memory processes requires the interplay of multiple plasticity mechanisms including intrinsic plasticity. Here we show that an integrate-and-fire neuron can be created by combining a dynamic random-access memory and an inverter that are based on wafer-scale monolayer molybdenum disulfide films. In the system, the voltage in the dynamic random-access memory capacitor—that is, the neuronal membrane potential—can be modulated to emulate intrinsic plasticity. The module can also emulate the photopic and scotopic adaptation of the human visual system by dynamically adjusting its light sensitivity. We fabricate a 3 × 3 photoreceptor neuron array and demonstrate light coding and visual adaptation. We also use the neuron module to simulate a bioinspired neural network model for image recognition.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A biologically inspired artificial neuron with intrinsic plasticity based on monolayer molybdenum disulfide

  • 期刊论文

  • 发表日期：

    2025年8月11日

查看全文
  • Yin Wang,
  • Saifei Gou,
  • Xiangqi Dong,
  • Xinyu Chen,
  • Xinyu Wang,
  • Qicheng Sun,
  • Yin Xia,
  • Yuxuan Zhu,
  • Zhejia Zhang,
  • Die Wang,
  • Jinshu Zhang,
  • Xiaojiao Guo,
  • Ling Tong,
  • Jingyi Ma,
  • Zihan Xu,
  • Yufeng Xie,
  • Shunli Ma,
  • Peng Zhou,
  • Yang Chai,
  • Wenzhong Bao

摘要

Neuromorphic hardware that accurately simulates diverse neuronal behaviours could be of use in the development of edge intelligence. Hardware that incorporates synaptic plasticity—adaptive changes that strengthen or weaken synaptic connections—has been explored, but mimicking the full spectrum of learning and memory processes requires the interplay of multiple plasticity mechanisms including intrinsic plasticity. Here we show that an integrate-and-fire neuron can be created by combining a dynamic random-access memory and an inverter that are based on wafer-scale monolayer molybdenum disulfide films. In the system, the voltage in the dynamic random-access memory capacitor—that is, the neuronal membrane potential—can be modulated to emulate intrinsic plasticity. The module can also emulate the photopic and scotopic adaptation of the human visual system by dynamically adjusting its light sensitivity. We fabricate a 3 × 3 photoreceptor neuron array and demonstrate light coding and visual adaptation. We also use the neuron module to simulate a bioinspired neural network model for image recognition.