Partial Breakdown of Input Specificity of STDP at Individual Synapses Promotes New Learning
By Maxim Volgushev, Jen-Yung Chen, Vladimir Ilin, Roman U. Goz, Marina Chistiakova, Maxim Bazhenov. 2016
23 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering
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
- Friedemann Zenke
- Surya Ganguli
- Wulfram Gerstner
- Pierre Yger
- Stefano Fusi
- Claudia Clopath
- Robert Froemke
- Nicolas Frémaux
In Cognitive Neuroscience
- Friedemann Zenke
- Surya Ganguli
- Wulfram Gerstner
- Pierre Yger
- Andrea Soltoggio
- Claudia Clopath
- Matthieu Gilson
- Nicolas Frémaux
In Electrical and Electronic Engineering
- Friedemann Zenke
- Surya Ganguli
- Wulfram Gerstner
- Rahaf Aljundi
- Pierre Yger
- Andrea Soltoggio
- Claudia Clopath
- Matthieu Gilson
Citations in the corpus
- The temporal paradox of Hebbian learning and homeostatic plasticity (2017, background): “Nevertheless, this form of heterosynaptic plasticity has been shown to prevent runaway of LTP in models of feedforward circuits [30] and has been demonstrated to co-occur with Hebbian plasticity in experiments [109].”