A Low Energy Oxide-Based Electronic Synaptic Device for Neuromorphic   Visual Systems with Tolerance to Device Variation

doi:10.1002/adma.201203680

CORC > 北京大学 > 信息科学技术学院

	A Low Energy Oxide-Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation
	Yu, Shimeng ; Gao, Bin ; Fang, Zheng ; Yu, Hongyu ; Kang, Jinfeng ; Wong, H.S. Philip
刊名	advanced materials
	2013
关键词	resistive switching oxide RRAM synaptic devices neuromorphic computing artificial visual systems SWITCHING PARAMETER VARIATION SPIKING NEURONS SYNAPSES RRAM PLASTICITY DESIGN MEMORY
DOI	10.1002/adma.201203680
英文摘要	Neuromorphic computing is an emerging computing paradigm beyond the conventional digital von Neumann computation. An oxide-based resistive switching memory is engineered to emulate synaptic devices. At the device level, the gradual resistance modulation is characterized by hundreds of identical pulses, achieving a low energy consumption of less than 1 pJ per spike. Furthermore, a stochastic compact model is developed to quantify the device switching dynamics and variation. At system level, the performance of an artificial visual system on the image orientation or edge detection with 16 348 oxide-based synaptic devices is simulated, successfully demonstrating a key feature of neuromorphic computing: tolerance to device variation. [GRAPHICS] .; Chemistry, Multidisciplinary; Chemistry, Physical; Nanoscience & Nanotechnology; Materials Science, Multidisciplinary; Physics, Applied; Physics, Condensed Matter; SCI(E); EI; 37; ARTICLE; 12; 1774-1779; 25
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/225087]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Yu, Shimeng,Gao, Bin,Fang, Zheng,et al. A Low Energy Oxide-Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation[J]. advanced materials,2013.
APA	Yu, Shimeng,Gao, Bin,Fang, Zheng,Yu, Hongyu,Kang, Jinfeng,&Wong, H.S. Philip.(2013).A Low Energy Oxide-Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation.advanced materials.
MLA	Yu, Shimeng,et al."A Low Energy Oxide-Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation".advanced materials (2013).