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Neuromorphic functions with a polyelectrolyte-confined fluidic memristor

Tianyi Xiong, Changwei Li, Xiulan He, Boyang Xie, Jianwei Zong, Yanan Jiang, Wenjie Ma, Fei Wu, Junjie Fei, Ping Yu, Lanqun Mao

2023Science352 citationsDOI

Abstract

Reproducing ion channel-based neural functions with artificial fluidic systems has long been an aspirational goal for both neuromorphic computing and biomedical applications. In this study, neuromorphic functions were successfully accomplished with a polyelectrolyte-confined fluidic memristor (PFM), in which confined polyelectrolyte-ion interactions contributed to hysteretic ion transport, resulting in ion memory effects. Various electric pulse patterns were emulated by PFM with ultralow energy consumption. The fluidic property of PFM enabled the mimicking of chemical-regulated electric pulses. More importantly, chemical-electric signal transduction was implemented with a single PFM. With its structural similarity to ion channels, PFM is versatile and easily interfaces with biological systems, paving a way to building neuromorphic devices with advanced functions by introducing rich chemical designs.

Topics & Concepts

Neuromorphic engineeringFluidicsMemristorPolyelectrolyteNanotechnologyMaterials scienceIonComputer scienceOptoelectronicsElectronic engineeringArtificial neural networkChemistryEngineeringElectrical engineeringArtificial intelligencePolymerComposite materialOrganic chemistryAdvanced Memory and Neural ComputingPhotoreceptor and optogenetics researchNeural dynamics and brain function
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