Analogue signal and image processing with large memristor crossbars
By Can Li, Miao Hu, Yunning Li, Hao Jiang, Ning Ge, Eric Montgomery, Jiaming Zhang, Wenhao Song, N. Dávila, Catherine E. Graves and 9 more. Nature Electronics, 2017
1,118 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/edc0a758d95f62181c30ad30ab4ef2bef16e742d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Daniele Ielmini
- J. Joshua Yang
- Qiangfei Xia
- John Paul Strachan
- H. Philip Wong
- Zhongrui Wang
- Huaqiang Wu
- C. S. Hwang
In Electrical and Electronic Engineering
- Daniele Ielmini
- J. Joshua Yang
- H. Philip Wong
- Abu Sebastian
- M. Le Gallo
- Qiangfei Xia
- John Paul Strachan
- Zhongrui Wang
Citations in the corpus
- Three-dimensional memristor circuits as complex neural networks (2020, background): “Emerging non-volatile devices 4,5 , such as memris-tors 6–8 , can directly implement synaptic weights and efficiently carry out resource-hungry matrix operations inside ensemble arrays 9–17 .”
- Memory devices and applications for in-memory computing (2020, background): “Several memory-centric problems in machine learning could also benefit from in-memory computing.”
- Efficient and self-adaptive in-situ learning in multilayer memristor neural networks (2018, methodology): “…for other applications, by device engineering for better IV linearity 37,38 , or using pulse width instead of amplitude to represent analog input (with increased time overhead) 27,28,37 , or employing multiple memristors to represent one synaptic weight (at the expense of chip area) 52 , etc.”
- An artificial nociceptor based on a diffusive memristor (2018, background): “…represent information, memristor has been demonstrated for a wide variety of applications ranging from non-volatile memory 16 – 32 , bio-system emulators 33 – 36 , analog 37,38,39 and neuromorphic computing 40 – 46 , recon fi gurable radio-frequency systems 47,48 to security applications 49 – 54 .”
- Hardware implementation of memristor-based artificial neural networks (2024, neutral): “The most common approach in this contest is the use of an Off-the-shelf, external DAC to drivetheanalogueinputs 54,55,102,222 ,whichareintegratedwiththerestof the circuit (i.e. the memristor crossbar) in printed circuit boards.”