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<p>Unlike conventional synapses in neural networks relying on bipolar spike-driven modulation, biological synapses in the peripheral nervous system handle unipolar input based on stimulus intensity, generating excitatory or inhibitory signals. Here, we demonstrate a unipolar-driven synaptic transistor (UDST) that exhibits both responses under a single-polarity voltage. The unipolar property is achieved within a single device through a bilayer gate dielectric, comprising a high-<i>k</i> charge trapping layer (<i>k</i> &gt; 6) and an ultrathin charge tunneling layer (&lt;5 nm), which synergistically facilitate dipole polarization and charge trapping. The UDST exhibits potentiation, depression, and adaptation while maintaining exceptional durability, with a dynamic range reduction of less than 0.9% over 2000 potentiation-depression cycles and minimal conductance variation of only 0.3%. This work presents the first implementation of a self-adaptive artificial vision system based on a unipolar-driven synaptic device, utilizing a 3 × 3 UDST array to achieve real-time object tracking and adaptive sensory processing without external control or computational peripheral circuits.</p>

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A unipolar-driven synaptic transistor for environment-adaptable vision system

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月16日

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  • Sukwon Jang,
  • Keunho Soh,
  • Chungryeol Lee,
  • Taehyun Nam,
  • Minjae Jang,
  • Jeong-ik Park,
  • Changhyeon Lee,
  • Junhwan Choi,
  • Jung Ho Yoon,
  • Sung Gap Im

摘要

Unlike conventional synapses in neural networks relying on bipolar spike-driven modulation, biological synapses in the peripheral nervous system handle unipolar input based on stimulus intensity, generating excitatory or inhibitory signals. Here, we demonstrate a unipolar-driven synaptic transistor (UDST) that exhibits both responses under a single-polarity voltage. The unipolar property is achieved within a single device through a bilayer gate dielectric, comprising a high-k charge trapping layer (k > 6) and an ultrathin charge tunneling layer (<5 nm), which synergistically facilitate dipole polarization and charge trapping. The UDST exhibits potentiation, depression, and adaptation while maintaining exceptional durability, with a dynamic range reduction of less than 0.9% over 2000 potentiation-depression cycles and minimal conductance variation of only 0.3%. This work presents the first implementation of a self-adaptive artificial vision system based on a unipolar-driven synaptic device, utilizing a 3 × 3 UDST array to achieve real-time object tracking and adaptive sensory processing without external control or computational peripheral circuits.