Sparse coding with memristor networks

Nature Nanotechnology
Patrick M SheridanWei D Lu

Abstract

Sparse representation of information provides a powerful means to perform feature extraction on high-dimensional data and is of broad interest for applications in signal processing, computer vision, object recognition and neurobiology. Sparse coding is also believed to be a key mechanism by which biological neural systems can efficiently process a large amount of complex sensory data while consuming very little power. Here, we report the experimental implementation of sparse coding algorithms in a bio-inspired approach using a 32 × 32 crossbar array of analog memristors. This network enables efficient implementation of pattern matching and lateral neuron inhibition and allows input data to be sparsely encoded using neuron activities and stored dictionary elements. Different dictionary sets can be trained and stored in the same system, depending on the nature of the input signals. Using the sparse coding algorithm, we also perform natural image processing based on a learned dictionary.

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Citations

Apr 19, 2018·Advanced Materials·Doo Seok Jeong, Cheol Seong Hwang
Jan 20, 2018·Physical Review. E·F Caravelli
Jul 18, 2018·Advanced Materials·Woong HuhChul-Ho Lee
Aug 7, 2018·Advanced Materials·Zhong SunDaniele Ielmini
Aug 12, 2018·Nature Communications·Zhongrui WangJ Joshua Yang
Nov 14, 2018·Nature Nanotechnology·Shuang PiQiangfei Xia
May 23, 2017·Nature Nanotechnology·Bruno A Olshausen, Christopher J Rozell
Aug 1, 2019·Advanced Materials·Changjin WanXiaodong Chen
Jan 25, 2020·Advanced Materials·Ting-Yu QuDong-Ming Sun
Nov 9, 2019·Science Advances·J B MallinsonS A Brown
Mar 24, 2020·Nature Nanotechnology·Sreetosh GoswamiT Venkatesan
Jul 24, 2020·Advanced Materials·Houk JangDonhee Ham
Oct 25, 2017·Nature Communications·Abu SebastianEvangelos Eleftheriou
Feb 23, 2019·Science Advances·Carlos RíosHarish Bhaskaran
Mar 27, 2019·Scientific Reports·Qi HuAnping Huang
Mar 15, 2020·Nature Communications·Hongwei TanSebastiaan van Dijken
May 28, 2020·Scientific Reports·Panagiotis S IoannouJohn Giapintzakis
Jun 6, 2018·Nature Communications·Alexantrou SerbThemistoklis Prodromakis
Oct 20, 2018·Nature Communications·He TianTian-Ling Ren
Dec 7, 2018·Nature Communications·Seunghwan SeoJin-Hong Park
Mar 22, 2019·Nature Materials·Qiangfei Xia, J Joshua Yang
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Apr 4, 2020·Nature Communications·Can LiJohn Paul Strachan

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