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基于相变材料的纳米电子可编程突触用于类脑计算。

Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing.

机构信息

Center for Integrated Systems, Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA.

出版信息

Nano Lett. 2012 May 9;12(5):2179-86. doi: 10.1021/nl201040y. Epub 2011 Jun 14.

Abstract

Brain-inspired computing is an emerging field, which aims to extend the capabilities of information technology beyond digital logic. A compact nanoscale device, emulating biological synapses, is needed as the building block for brain-like computational systems. Here, we report a new nanoscale electronic synapse based on technologically mature phase change materials employed in optical data storage and nonvolatile memory applications. We utilize continuous resistance transitions in phase change materials to mimic the analog nature of biological synapses, enabling the implementation of a synaptic learning rule. We demonstrate different forms of spike-timing-dependent plasticity using the same nanoscale synapse with picojoule level energy consumption.

摘要

脑启发计算是一个新兴领域,旨在将信息技术的能力扩展到数字逻辑之外。作为类脑计算系统的构建模块,需要一个紧凑的纳米尺度设备来模拟生物突触。在这里,我们报告了一种新的基于相变材料的纳米尺度电子突触,相变材料在光学数据存储和非易失性存储器应用中已经非常成熟。我们利用相变材料中的连续电阻转变来模拟生物突触的模拟特性,从而实现突触学习规则。我们使用相同的纳米尺度突触以皮焦耳级别的能量消耗演示了不同形式的尖峰时间依赖可塑性。

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