Short-term plasticity and long-term potentiation mimicked in single inorganic synapses.
By T. Ohno, Tsuyoshi Hasegawa, Tohru Tsuruoka, Kazuya Terabe, J. Gimzewski, Masakazu Aono. Nature Materials, 2011
1,605 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/61633cf7b93c6ef2eab0c74d661654a27ea52aae
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
- Shimeng Yu
- H. Philip Wong
- Shih-Chii Liu
- Giacomo Indiveri
- Ilia Valov
- Michael N. Kozicki
- B. Linares‐Barranco
- T. Serrano‐Gotarredona
In Electrical and Electronic Engineering
- Shimeng Yu
- H. Philip Wong
- Giacomo Indiveri
- Shih-Chii Liu
- Daniele Ielmini
- Ilia Valov
- B. Linares‐Barranco
- Michael N. Kozicki
Citations in the corpus
- Memory and Information Processing in Neuromorphic Systems (2015, background): “[115], [116], [117], [118], [119]; a large set of spike-based learning circuits have been proposed to model long-term plasticity [120], [121], [122], [123], [77], [124], [125], [126], [127], [128], [91]; multiple solutions have been proposed for implementing homeostatic plasticity mechanisms [129], ”
- Organic electronics for neuromorphic computing (2018, background): “Finally, short-to-long-term plasticity can be described as the effect in which repeated stimulation will result in a long-term modulation of the conductance, compared with a short-term plasticity effect for a single stimulation 80 .”
- Synaptic electronics: materials, devices and applications (2013, background): “Ohno et al reported a Ag/Ag2S/nanogap/Pt synaptic device [72], which shows a transition from STM to LTM depending on the stimulus pulse intervals.”