Beijing National Laboratory for Condensed Matter Physics, Institute of Physics , Chinese Academy of Sciences , Beijing 100190 , China.
School of Physical Sciences , University of Chinese Academy of Science , Beijing 100049 , China.
ACS Appl Mater Interfaces. 2019 Nov 20;11(46):43473-43479. doi: 10.1021/acsami.9b13434. Epub 2019 Nov 8.
The development of artificial synapses has enabled the establishment of brain-inspired computing systems, which provides a promising approach for overcoming the inherent limitations of current computer systems. The two-terminal memristors that faithfully mimic the function of biological synapses have intensive prospects in the neural network field. Here, we propose a high-performance artificial synapse based on oxide tunnel junctions with oxygen vacancy migration. Both short-term and long-term plasticities are mimicked in one device. The oxygen vacancy migration through oxide ultrathin films is utilized to manipulate long-term plasticity. Essential synaptic functions, such as paired pulse facilitation, post-tetanic potentiation, as well as spike-timing-dependent plasticity, are successfully implemented in one device by finely modifying the shape of the pre- and postsynaptic spikes. Ultralow femtojoule energy consumption comparable to that of the human brain indicates its potential application in efficient neuromorphic computing. Oxide tunnel junctions proposed in this work provide an alternative approach for realizing energy-efficient brain-like chips.
人工突触的发展使建立类脑计算系统成为可能，为克服现有计算机系统固有的局限性提供了一种有前途的方法。忠实模拟生物突触功能的二端忆阻器在神经网络领域具有广阔的前景。在这里，我们提出了一种基于具有氧空位迁移的氧化物隧道结的高性能人工突触。在一个器件中模拟了短期和长期可塑性。通过氧化物超薄膜中的氧空位迁移来操纵长期可塑性。通过精细地修改前后突触脉冲的形状，成功地在一个器件中实现了基本的突触功能，如成对脉冲易化、强直后增强以及尖峰时间依赖可塑性。与大脑相当的超低飞焦能量消耗表明其在高效神经形态计算中有潜在的应用。本工作中提出的氧化物隧道结为实现节能类脑芯片提供了一种替代方法。
