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Issue 3, 2019
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Proton–electron-coupled MoS2 synaptic transistors with a natural renewable biopolymer neurotransmitter for brain-inspired neuromorphic learning

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Abstract

In neuroscience, information storage and retrieval of biological synapses in the brain are established by tuning the related ion fluxes. Inspired by such functionality, solid-state ionic/electronic hybrid devices are highly desirable for hardware implementation of brain-inspired neuromorphic computing systems. Here, nanoscale artificial synapses based on proton–electron-coupled van der Waals MoS2 transistors are presented using the natural chitosan biopolymer electrolyte as a neurotransmitter. Chitosan is one of the most abundant organic polymers on Earth and is non-toxic, renewable, as well as biocompatible. Using this kind of device, fundamental synaptic rules like excitatory postsynaptic current, paired-pulse-facilitation, and dynamic temporal filters are demonstrated. Moreover, the spatiotemporally correlated logic dynamics, tunable synaptic integration, and neuronal arithmetic operation are successfully mimicked. Further theoretical analysis using the first-principles calculation reveals that the proton–electron-coupled mechanism plays a critical role in the short-term synaptic potentiation. These results indicate that the artificial synapses we proposed here greatly enrich the intension of bionic electronics and represent a significant step toward future intelligent neuromorphic nanoelectronics.

Graphical abstract: Proton–electron-coupled MoS2 synaptic transistors with a natural renewable biopolymer neurotransmitter for brain-inspired neuromorphic learning

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Publication details

The article was received on 19 Sep 2018, accepted on 11 Dec 2018 and first published on 11 Dec 2018


Article type: Paper
DOI: 10.1039/C8TC04740E
Citation: J. Mater. Chem. C, 2019,7, 682-691
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    Proton–electron-coupled MoS2 synaptic transistors with a natural renewable biopolymer neurotransmitter for brain-inspired neuromorphic learning

    W. Hu, J. Jiang, D. Xie, B. Liu, J. Yang and J. He, J. Mater. Chem. C, 2019, 7, 682
    DOI: 10.1039/C8TC04740E

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