Fert Beijing Institute, BDBC, and School of Electronic and Information Engineering, Beihang University, Beijing, People's Republic of China.
Nanotechnology. 2017 Feb 24;28(8):08LT02. doi: 10.1088/1361-6528/aa5838. Epub 2017 Jan 10.
Magnetic skyrmions are promising candidates for next-generation information carriers, owing to their small size, topological stability, and ultralow depinning current density. A wide variety of skyrmionic device concepts and prototypes have recently been proposed, highlighting their potential applications. Furthermore, the intrinsic properties of skyrmions enable new functionalities that may be inaccessible to conventional electronic devices. Here, we report on a skyrmion-based artificial synapse device for neuromorphic systems. The synaptic weight of the proposed device can be strengthened/weakened by positive/negative stimuli, mimicking the potentiation/depression process of a biological synapse. Both short-term plasticity and long-term potentiation functionalities have been demonstrated with micromagnetic simulations. This proposal suggests new possibilities for synaptic devices in neuromorphic systems with adaptive learning function.
磁斯格明子由于其尺寸小、拓扑稳定性和超低钉扎电流密度，成为下一代信息载体的有前途的候选者。最近提出了各种各样的斯格明子器件概念和原型，突出了它们的潜在应用。此外，斯格明子的固有特性使新的功能成为可能，而这些功能可能是传统电子设备无法实现的。在这里，我们报告了一种基于斯格明子的人工突触器件，用于神经形态系统。所提出的器件的突触权重可以通过正/负刺激来增强/减弱，模拟生物突触的增强/抑制过程。通过微磁模拟演示了短期可塑性和长时程增强功能。这项提议为具有自适应学习功能的神经形态系统中的突触器件提供了新的可能性。
