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DOI | 10.1038/s41467-019-12695-4 |
Neural-like computing with populations of superparamagnetic basis functions | |
Mizrahi, Alice1,2,4; Hirtzlin, Tifenn2; Fukushima, Akio3; Kubota, Hitoshi3; Yuasa, Shinji3; Grollier, Julie1; Querlioz, Damien2 | |
2019-10-22 | |
发表期刊 | NATURE COMMUNICATIONS
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ISSN | 2041-1723 |
出版年 | 2018 |
卷号 | 9 |
文章类型 | Article |
语种 | 英语 |
国家 | France; Japan; USA |
英文摘要 | In neuroscience, population coding theory demonstrates that neural assemblies can achieve fault-tolerant information processing. Mapped to nanoelectronics, this strategy could allow for reliable computing with scaled-down, noisy, imperfect devices. Doing so requires that the population components form a set of basis functions in terms of their response functions to inputs, offering a physical substrate for computing. Such a population can be implemented with CMOS technology, but the corresponding circuits have high area or energy requirements. Here, we show that nanoscale magnetic tunnel junctions can instead be assembled to meet these requirements. We demonstrate experimentally that a population of nine junctions can implement a basis set of functions, providing the data to achieve, for example, the generation of cursive letters. We design hybrid magnetic-CMOS systems based on interlinked populations of junctions and show that they can learn to realize non-linear variability-resilient transformations with a low imprint area and low power. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000430286800008 |
WOS关键词 | INTEGRATED-CIRCUIT ; NEURONS ; INFORMATION ; NOISE ; MOVEMENTS ; INFERENCE ; MODELS ; CODES |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/204608 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Paris Saclay, Univ Paris Sud, CNRS, Unite Mixte Phys,Thales, F-91767 Palaiseau, France; 2.Univ Paris Saclay, Univ Paris Sud, CNRS, Ctr Nanosci & Nanotechnol, F-91405 Orsay, France; 3.Natl Inst Adv Ind Sci & Technol, Spintron Res Ctr, Tsukuba, Ibaraki 3058568, Japan; 4.NIST, Ctr Nanoscale Sci & Technol, Gaithersburg, MD 20899 USA |
推荐引用方式 GB/T 7714 | Mizrahi, Alice,Hirtzlin, Tifenn,Fukushima, Akio,et al. Neural-like computing with populations of superparamagnetic basis functions[J]. NATURE COMMUNICATIONS,2019,9. |
APA | Mizrahi, Alice.,Hirtzlin, Tifenn.,Fukushima, Akio.,Kubota, Hitoshi.,Yuasa, Shinji.,...&Querlioz, Damien.(2019).Neural-like computing with populations of superparamagnetic basis functions.NATURE COMMUNICATIONS,9. |
MLA | Mizrahi, Alice,et al."Neural-like computing with populations of superparamagnetic basis functions".NATURE COMMUNICATIONS 9(2019). |
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