Synaptic electronics: materials, devices and applications

By Duygu Kuzum, Shimeng Yu, H. Philip Wong. Nanotechnology, 2013

1,134 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/915d7d845ff12aea9e1af99270cdd4a12715db7c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Shimeng Yu
2. H. Philip Wong
3. Pai-Yu Chen
4. Yurii A. Vlasov
5. Gökmen Tayfun
6. Xiaochen Peng
7. Mark C. Hersam
8. Huaqiang Wu

Citations in the corpus

• Neuro-Inspired Computing With Emerging Nonvolatile Memorys (2018, background): “A special subset of eNVM devices that show multilevel resistance/conductance states could naturally emulate a synaptic device in the neural network, namely, resistive synaptic devices [17].”
• Emerging Memory Technologies: Recent Trends and Prospects (2016, methodology): “Another emerging application is using PCRAM/RRAM as synaptic devices for hardware implementation of neuro-inspired computing [74].”
• Face classification using electronic synapses (2017, background): “RRAM devices based on resistive switching phenomenon exhibit promising potential as the electronic synapse 26–29 .”