Jen-Yung Chen

Cellular and Molecular Neuroscience · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Cellular and Molecular Neuroscience — 37 citations into it; #2,417 of 2,998 by trust here, #2,534 by citations
• Cognitive Neuroscience — 36 citations into it; #9,137 of 10,852 by trust here, #8,363 by citations
• Electrical and Electronic Engineering — 28 citations into it; #13,929 of 16,539 by trust here, #12,727 by citations
• Neuroscience — 15 citations into it

Whom Jen-Yung Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Erkki Oja
2. Richard Kempter
3. Sen Song
4. Kenneth D. Miller
5. L. F. Abbott
6. Wulfram Gerstner
7. Jonathan E. Rubin
8. Guoqiang Bi
9. Mark C. W. van Rossum
10. Wickliffe C. Abraham

Who trusts Jen-Yung Chen overall

1. Friedemann Zenke
2. Wulfram Gerstner
3. Maxim Volgushev
4. Rafal Bogacz

Papers from Jen-Yung Chen's perspective

Ordered by how strongly the researchers Jen-Yung Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Hebbian learning and spiking neurons
2. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
3. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
4. Synaptic plasticity: taming the beast
5. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
6. Simplified neuron model as a principal component analyzer
7. Stable Hebbian Learning from Spike Timing-Dependent Plasticity
8. Spike timing-dependent plasticity: a Hebbian learning rule.
9. A synaptic model of memory: long-term potentiation in the hippocampus
10. Highly Nonrandom Features of Synaptic Connectivity in Local Cortical Circuits

Their papers

• Heterosynaptic Plasticity Prevents Runaway Synaptic Dynamics (2013) — 91 citations
• Partial Breakdown of Input Specificity of STDP at Individual Synapses Promotes New Learning (2016) — 23 citations