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Transparent and biocompatible In2O3 artificial synapses with lactose–citric acid electrolyte for neuromorphic computing

Haiyang Qiu, Dandan Hao, Hui Li, Yepeng Shi, Dong Yao, Ao Liu, Fukai Shan

2022Applied Physics Letters26 citationsDOI

Abstract

Electrolyte-gated synaptic transistors are promising for artificial neural morphological devices. However, few literatures have been reported regarding the manufacturing of electrolyte-gated synaptic transistors with low cost and biocompatible components. Here, the fully transparent synaptic transistors based on water-induced In2O3 thin films have been integrated by sol–gel method at low temperature, and lactose dissolved in citric acid solution is used as the gate electrolyte. The migration of the ions at the interface plays a crucial role in the potentiation and depression of the synaptic weight. In this work, the biological synaptic functions, including excitatory postsynaptic current, paired-pulse facilitation, high-pass filtering characteristics, short-term memory, and long-term memory, are mimicked. Meanwhile, based on the potentiation/depression behaviors of the synaptic transistor, a three-layer artificial neural network is applied for pattern recognition, and the recognition accuracy is as high as 94.6%. This study offers a possibility to realize fully transparent synaptic devices with biocompatible components at low temperature.

Topics & Concepts

Neuromorphic engineeringMaterials scienceElectrolyteLong-term potentiationBiocompatible materialTransistorExcitatory postsynaptic potentialSynaptic plasticityComputer scienceNanotechnologyOptoelectronicsNeuroscienceArtificial neural networkChemistryBiomedical engineeringElectrical engineeringArtificial intelligenceElectrodeBiologyBiochemistryPhysical chemistryReceptorEngineeringMedicineVoltageInhibitory postsynaptic potentialAdvanced Memory and Neural ComputingTransition Metal Oxide NanomaterialsCCD and CMOS Imaging Sensors
Transparent and biocompatible In2O3 artificial synapses with lactose–citric acid electrolyte for neuromorphic computing | Litcius