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20132016
most citedProton Conducting Graphene Oxide Coupled Neuron Transistors for Brain-Inspired Cognitive Systems

5 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.NC2016★ 1 cited

Flexible Metal Oxide/Graphene Oxide Hybrid Neuromorphic Devices on Flexible Conducting Graphene Substrates

Chang Jin Wan, Wei Wang, Li Qiang Zhu +5

Flexible metal oxide/graphene oxide hybrid multi-gate neuron transistors were fabricated on flexible graphene substrates. Dendritic integrations in both spatial and temporal modes…

q-bio.NC2015★ 5 cited

Proton Conducting Graphene Oxide Coupled Neuron Transistors for Brain-Inspired Cognitive Systems

Changjin Wan, Liqiang Zhu, Yanghui Liu +6

Neuron is the most important building block in our brain, and information processing in individual neuron involves the transformation of input synaptic spike trains into an appropr…

q-bio.NC2015★ 1 cited

Dendritic Integration Regulation and Neuronal Arithmetic Implemented in a Proton-Coupled Neuron Transistor

Changjin Wan, Ning Liu, Ping Feng +3

Neuron is the most important building block in our brain, and information processing in individual neuron involves the transformation of input synaptic spike trains into an appropr…

cond-mat.mtrl-sci2015★ 1 cited

Flexible Sensory Platform Based on an Electrolyte-Gated Oxide Neuron Transistor

Ning Liu, Li Qiang Zhu, Ping Feng +4

Inspired by the dendritic integration and spiking operation of a biological neuron, flexible oxide-based neuron transistors gated by solid-state electrolyte films are fabricated on…

cond-mat.mtrl-sci2013

Learning and Spatiotemporally Correlated Functions Mimicked in Oxide-Based Artificial Synaptic Transistors

Chang Jin Wan, Li Qiang Zhu, Yi Shi +1

Learning and logic are fundamental brain functions that make the individual to adapt to the environment, and such functions are established in human brain by modulating ionic fluxe…

cond-mat.mtrl-sci2013★ 1 cited

Artificial Synaptic Arrays Intercoupled by Nanogranular Proton Conductors for Building Neuromorphic Systems

Changjin Wan, Guodong Wu, Liqiang Guo +2

The highly parallel process in the neuron networks is mediated through a mass of synaptic interconnections. Mimicking single synapse behaviors and highly paralleled neural networks…