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在Se@SWCNT适应性神经元中进行网关调节的高度线性双极光响应,用于动态可编程的神经形态计算

Jian Yao^1,2,3, Qinan Wang², Lin Geng²

¹School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, Hefei, 230026, China.

Advanced materials (Deerfield Beach, Fla.)

|August 4, 2025

概括

研究人员开发了一种用于光学神经形态系统的新型突触晶体管. 这个设备提供了可调节的,对突触权重的线性控制,改进了大脑启发的计算和视觉应用.

科学领域:

材料科学材料科学材料科学
神经科学是一个神经科学.
电气工程电气工程

背景情况:

神经形态系统需要可调和可控制的光导装置.
现有的设备存在不对称和非线性特性,限制了训练任务.
大脑启发的计算需要简化集成和复杂视觉环境的制造.

研究的目的:

为先进的光学神经形态系统提供可编程的突触晶体管.
通过启用门控制的正负响应来克服现有设备的局限性.
为了展示一个简化的方法对阵列集成和晶圆尺度制造.

主要方法:

使用@单层碳纳米管 (Se@SWCNT) 制造1D范德瓦尔斯异质连接.
使用门控制用于可调节的光电晶体管中的正负响应.
在光学刺激下,重量变化线性,持续光导和记忆状态的表征.

主要成果:

在重量变化方面取得了更好的对称性和线性 (R2 > 0.99).
具有超过128个内存状态的线性持久光导和负光导.
成功处理了通过调整光强度和波长来增加复杂性的三个任务.

结论:

Se@SWCNT晶体管为光学神经形态系统提供了一种简化,高度可控的解决方案.
该设备适应动态视觉环境的适应性有助于生物灵感的大脑区域之间的过渡.
这项创新显著推进了类似大脑的计算和生物启发的视觉,提高了准确性和动态切换.

关键词:

极为线性的双极光响应.神经形态计算是一种神经形态计算.突触阵列中的突触阵列.

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