Giotis Christos, Serb Alexander, Manouras Vasileios, Stathopoulos Spyros, Prodromakis Themis
Department of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.
Centre for Electronics Frontiers, School of Engineering, University of Edinburgh, Edinburgh EH9 3FB, UK.
Sci Adv. 2022 Jun 24;8(25):eabn7920. doi: 10.1126/sciadv.abn7920. Epub 2022 Jun 22.
Biological synapses store multiple memories on top of each other in a palimpsest fashion and at different time scales. Palimpsest consolidation is facilitated by the interaction of hidden biochemical processes governing synaptic efficacy during varying lifetimes. This arrangement allows idle memories to be temporarily overwritten without being forgotten, while previously unseen memories are used in the short term. While embedded artificial intelligence can greatly benefit from this functionality, a practical demonstration in hardware is missing. Here, we show how the intrinsic properties of metal-oxide volatile memristors emulate the processes supporting biological palimpsest consolidation. Our memristive synapses exhibit an expanded doubled capacity and protect a consolidated memory while up to hundreds of uncorrelated short-term memories temporarily overwrite it, without requiring specialized instructions. We further demonstrate this technology in the context of visual working memory. This showcases how emerging memory technologies can efficiently expand the capabilities of artificial intelligence hardware toward more generalized learning memories.
生物突触以一种重写本的方式，在不同的时间尺度上相互叠加存储多个记忆。在不同的生命周期中，隐藏的生化过程相互作用来调节突触效能，从而促进重写本式的巩固。这种安排允许闲置的记忆被暂时覆盖而不被遗忘，同时新出现的记忆可在短期内被使用。虽然嵌入式人工智能可以从这一功能中大大受益，但目前尚缺乏硬件方面的实际演示。在此，我们展示了金属氧化物挥发性忆阻器的固有特性如何模拟支持生物重写本巩固的过程。我们的忆阻突触展现出扩展的双倍容量，并在多达数百个不相关的短期记忆暂时覆盖已巩固记忆时对其加以保护，且无需专门指令。我们还在视觉工作记忆的背景下演示了这项技术。这展示了新兴记忆技术如何能够有效地扩展人工智能硬件的能力，使其朝着更通用的学习记忆发展。
