A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing.

By Y. Burgt, Ewout Lubberman, E. Fuller, Scott T. Keene, G. C. Faria, S. Agarwal, M. Marinella, A. Alec Talin, Alberto Salleo. Nature Materials, 2017

1,558 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/a784e46a0a516b6bc439f8f37dd3b35590945120

How researchers see this paper

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

1. Lauri Nuuttila
2. Mohammed Al-Marri
3. Junsheng Chen
4. Heli Lehtivuori
5. Dongzhou Liu
6. Kaibo Zheng

Citations in the corpus

• Fully memristive neural networks for pattern classification with unsupervised learning (2018, neutral): “Progress has been made in building hardware ANNs that incorporate redox memristors 2–14 , phase-change memristors 15–18 , organic transistors 19 and conventional CMOS circuits 20,21 to emulate synapses by utilizing their tuneable conductance as synaptic weights.”