Qing Wan
Electrical and Electronic Engineering · 2013–2018
A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 52 citations into it
- Cognitive Neuroscience — 25 citations into it
- Artificial Intelligence — 9 citations into it
Whom Qing Wan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Wolfgang Maass (in Electrical and Electronic Engineering)
- Dean V. Buonomano (in Cognitive Neuroscience)
Papers from Qing Wan's perspective
Ordered by how strongly the researchers Qing Wan trusts endorse each paper. Same corpus, a different order for every researcher.
- Short-term synaptic plasticity.
- A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity (IEEE Transactions on Neural Networks)
- Computational subunits in thin dendrites of pyramidal cells
- Deep learning with coherent nanophotonic circuits (Nature Photonics)
- Synaptic Learning and Memory Functions Achieved Using Oxygen Ion Migration/Diffusion in an Amorphous InGaZnO Memristor
- Control of Excitatory and Inhibitory Synapse Formation by Neuroligins (Science)
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
- Neuromorphic Silicon Neuron Circuits
- Synaptic plasticity: taming the beast
- A synaptic model of memory: long-term potentiation in the hippocampus
Their papers
- An Artificial Sensory Neuron with Tactile Perceptual Learning (2018) — 361 citations
- A light-stimulated synaptic device based on graphene hybrid phototransistor (2017) — 204 citations
- Printed Neuromorphic Devices Based on Printed Carbon Nanotube Thin‐Film Transistors (2017) — 162 citations
- 2D MoS2 Neuromorphic Devices for Brain-Like Computational Systems. (2017) — 296 citations
- Artificial synapse network on inorganic proton conductor for neuromorphic systems (2013) — 755 citations