在神经形态硬件中,生物启发的三元突触器与联合双晶体管用于恒温
Seong-Yun Yun1, Sang-Won Lee1, Hyun-Bin Noh1
1School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
ACS applied materials & interfaces
|March 13, 2026
概括
研究人员开发了一种新型的人工三方突触,模仿生物系统,用于先进的神经形态计算. 这种新的突触器装置集成了突触和恒常功能,提高了神经网络对图像分类任务的准确性.
科学领域:
- 神经科学和计算机工程 神经科学和计算机工程
- 开发用于人工智能的新型电子元件.
背景情况:
- 传统的·诺伊曼架构面临着局限性,推动了对神经形态计算的研究.
- 涉及天体细胞的生物三方突触对于强大而适应的神经系统至关重要.
- 模仿这些生物特性是推进人工神经系统的关键.
研究的目的:
- 设计和制造一个人造的三方突触晶体管 (synaptor).
- 将突触和静态功能整合到一个单一的CMOS兼容设备中.
- 为了提高神经网络对复杂任务的性能.
主要方法:
- 在三方突触器中使用了分裂氧化物-化物-氧化 (SONOS) 结构.
- 采用了两个独立地址的门:一个用于突触重量更新 (电荷捕获/解脱),另一个用于恒温 (动态导电性调节).
- 将三方突触器应用于神经网络进行图像分类.
主要成果:
- 证明了长期保留和明显的突触可塑性 (增强和抑郁).
- 通过二级门实现了通过平衡来调节动态导电量.
- 与双部分突触系统相比,对灰度数字和RGB图像的分类精度更高.
结论:
- 人工三元突触器成功地模仿了生物三元突触.
- 该设备提供了一个可扩展的硬件平台,用于可靠的神经形态计算与集成的平衡.
- 这种方法可以提高神经网络的性能和可靠性.
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