Synaptic plasticity and learning behaviours mimicked through Ag interface movement in an Ag/conducting polymer/Ta memristive system

By Sizhao Li, Fei Zeng, Chao Chen, Hongyan Liu, G. Tang, Shuang Gao, C. Song, Yisong Lin, F. Pan, D. Guo. 2013

245 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/2501096d9e6cf19f01ca808648a996f39e81a4f7

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

1. George G. Malliaras
2. Alberto Salleo
3. Armantas Melianas
4. Scott T. Keene
5. Y. van de Burgt

In Electrical and Electronic Engineering

1. George G. Malliaras
2. Alberto Salleo
3. Armantas Melianas
4. Scott T. Keene
5. Y. van de Burgt

In Polymers and Plastics

1. George G. Malliaras
2. Alberto Salleo

Citations in the corpus

• Organic electronics for neuromorphic computing (2018, methodology): “Spike-rate-dependent plasticity, a metric closely related to STDP, correlates the modulation with the rate of pulses that arrive to the gate, and has also been demonstrated in several three-terminal configurations 61,78,79 .”