Proton Conducting Graphene Oxide Coupled Neuron Transistors for Brain-Inspired Cognitive Systems
Changjin Wan, Liqiang Zhu, Yanghui Liu, Ping Feng, Zhaoping Liu,, Hailiang Cao, Peng Xiao, Yi Shi, and Qing Wan

TL;DR
This paper presents a novel proton-conducting graphene oxide coupled neuron transistor that emulates key neuronal functions, advancing hardware for brain-inspired cognitive systems.
Contribution
It introduces a new artificial neuron device based on proton-conducting graphene oxide, capable of emulating complex neuronal behaviors and gain control.
Findings
Successfully emulated paired-pulse facilitation
Demonstrated dendritic integration and orientation tuning
Implemented neuronal gain control in hardware
Abstract
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 appropriate output spike train. Hardware implementation of neuron by individual ionic/electronic hybrid device is of great significance for enhancing our understanding of the brain and solving sensory processing and complex recognition tasks. Here, we provide a proof-of-principle artificial neuron based on a proton conducting graphene oxide (GO) coupled oxide-based electric-double-layer (EDL) transistor with multiple driving inputs and one modulatory input terminal. Paired-pulse facilitation, dendritic integration and orientation tuning were successfully emulated. Additionally, neuronal gain control (arithmetic) in the scheme of rate coding is also experimentally demonstrated. Our results provide a new-concept…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Neuroscience and Neural Engineering · Photoreceptor and optogenetics research
