一个超小的有机突触用于神经形态计算
Shuzhi Liu1,2, Jianmin Zeng1, Zhixin Wu1
1Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Nature communications
|November 23, 2023
概括
研究人员使用一种新型聚合物开发了微小的有机神经形态设备. 这些设备实现了高性能和集成,为先进的脑启发计算和人工智能铺平了道路.
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:
- 微型有机神经形态设备对于大脑启发的人工智能至关重要.
- 由于结构不均,有机设备的缩小规模和整合存在挑战.
研究的目的:
- 设计和制造高性能有机突触,缩小尺寸和增强整合.
- 为了实现神经形态计算应用程序的可靠设备性能.
主要方法:
- 设计了一种半晶聚合物 (PBFCL10),具有有序结构,以控制导电纳米纤维的形成.
- 制造有机突触的最小设备尺寸为50nm,集成密度为1Kb.
- 实现了一个混合信号的神经形态硬件系统,带有有机神经矩阵和FPGA控制器.
主要成果:
- 实现了迄今为止最小的有机突触装置尺寸 (50 nm) 和最高的整合尺寸 (1 Kb).
- 证明了32个线性导电状态,具有高循环到循环 (98.89%) 和设备到设备 (99.71%) 的统一性.
- 成功执行了用于实现硬件系统的决策任务的尖端可塑性算法.
结论:
- 开发的基于PBFCL10的有机突触代表了小型化和高密度神经形态设备的重大进步.
- 这些有机设备的高性能和统一性优于现有的有机同行.
- 神经形态系统的成功实施突出了人工智能实际应用的潜力.
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