挥发性和非挥发性可编程的离子电子记忆器与灌入的TiO用于神经形态计算应用
Rabiul Islam1,2, Yu Shi1,2, Gabriel Vinicius de Oliveira Silva1,2
1Department of Electrical and Computer Engineering, University of Waterloo, Waterloo N2L 3G1, Ontario, Canada.
ACS nano
|August 7, 2024
概括
这项研究介绍了一种新的注入二氧化离子电子装置,它模仿了用于神经形态计算的突触短期可塑性. 该设备提供可调节的内存和语音识别任务的高精度.
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.
- 计算机工程 计算机工程
背景情况:
- 神经形态计算旨在模仿大脑的功能.
- 现有的设备往往需要复杂的制造或操作条件.
- 开发高效的硬件来模拟神经可塑性至关重要.
研究的目的:
- 展示一种注入的二氧化离子电子装置,具有固有的突触类短期可塑性.
- 探索该设备在神经形态计算应用中的潜力.
- 为了研究设备内存特征的可调和性和稳定性.
主要方法:
- 使用LiPON固态电解质制造 (Li) 浸透的TiO2离子电子装置.
- 短期可塑性现象的表征 (配对脉冲促进,伤后增强).
- 在语音识别任务中评估设备性能.
主要成果:
- 该设备表现出挥发性,类似突触的短期可塑性,没有形成过程或合规电流.
- 观察到可调节的记忆时间尺度和自我放松特征.
- 使用该设备作为神经形态训练平台,在语音识别中获得了94.4%的准确性.
结论:
- 注入的TiO2离子电子设备为神经形态计算提供了一个多功能平台,可以实现挥发性储存器和非挥发性存储器功能.
- 该设备固有的可塑性和可调性特性适合处理时间信息.
- 这项技术为人工神经网络的高效硬件实现提供了一个有前途的方法.
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