Literature DB >> 22141918

A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications.

Kuk-Hwan Kim1, Siddharth Gaba, Dana Wheeler, Jose M Cruz-Albrecht, Tahir Hussain, Narayan Srinivasa, Wei Lu.   

Abstract

Crossbar arrays based on two-terminal resistive switches have been proposed as a leading candidate for future memory and logic applications. Here we demonstrate a high-density, fully operational hybrid crossbar/CMOS system composed of a transistor- and diode-less memristor crossbar array vertically integrated on top of a CMOS chip by taking advantage of the intrinsic nonlinear characteristics of the memristor element. The hybrid crossbar/CMOS system can reliably store complex binary and multilevel 1600 pixel bitmap images using a new programming scheme.
© 2011 American Chemical Society

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Year:  2011        PMID: 22141918     DOI: 10.1021/nl203687n

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  49 in total

1.  Training and operation of an integrated neuromorphic network based on metal-oxide memristors.

Authors:  M Prezioso; F Merrikh-Bayat; B D Hoskins; G C Adam; K K Likharev; D B Strukov
Journal:  Nature       Date:  2015-05-07       Impact factor: 49.962

2.  Sparse coding with memristor networks.

Authors:  Patrick M Sheridan; Fuxi Cai; Chao Du; Wen Ma; Zhengya Zhang; Wei D Lu
Journal:  Nat Nanotechnol       Date:  2017-05-22       Impact factor: 39.213

3.  Memristive devices for computing.

Authors:  J Joshua Yang; Dmitri B Strukov; Duncan R Stewart
Journal:  Nat Nanotechnol       Date:  2013-01       Impact factor: 39.213

4.  Stability of delayed memristive neural networks with time-varying impulses.

Authors:  Jiangtao Qi; Chuandong Li; Tingwen Huang
Journal:  Cogn Neurodyn       Date:  2014-03-27       Impact factor: 5.082

5.  Finding a roadmap to achieve large neuromorphic hardware systems.

Authors:  Jennifer Hasler; Bo Marr
Journal:  Front Neurosci       Date:  2013-09-10       Impact factor: 4.677

6.  Conductive-bridging random access memory: challenges and opportunity for 3D architecture.

Authors:  Debanjan Jana; Sourav Roy; Rajeswar Panja; Mrinmoy Dutta; Sheikh Ziaur Rahaman; Rajat Mahapatra; Siddheswar Maikap
Journal:  Nanoscale Res Lett       Date:  2015-04-18       Impact factor: 4.703

7.  Complex Learning in Bio-plausible Memristive Networks.

Authors:  Lei Deng; Guoqi Li; Ning Deng; Dong Wang; Ziyang Zhang; Wei He; Huanglong Li; Jing Pei; Luping Shi
Journal:  Sci Rep       Date:  2015-06-19       Impact factor: 4.379

8.  Spiking neurons in a hierarchical self-organizing map model can learn to develop spatial and temporal properties of entorhinal grid cells and hippocampal place cells.

Authors:  Praveen K Pilly; Stephen Grossberg
Journal:  PLoS One       Date:  2013-04-05       Impact factor: 3.240

9.  Memristive crypto primitive for building highly secure physical unclonable functions.

Authors:  Yansong Gao; Damith C Ranasinghe; Said F Al-Sarawi; Omid Kavehei; Derek Abbott
Journal:  Sci Rep       Date:  2015-08-04       Impact factor: 4.379

10.  Resistive and New Optical Switching Memory Characteristics Using Thermally Grown Ge0.2Se0.8 Film in Cu/GeSex/W Structure.

Authors:  Debanjan Jana; Somsubhra Chakrabarti; Sheikh Ziaur Rahaman; Siddheswar Maikap
Journal:  Nanoscale Res Lett       Date:  2015-10-07       Impact factor: 4.703

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