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- W2109529551 abstract "Inspired by biological neural systems, neuromorphic devices may open up new computing paradigms to explore cognition, learning and limits of parallel computation. Here we report the demonstration of a synaptic transistor with SmNiO3, a correlated electron system with insulator–metal transition temperature at 130°C in bulk form. Non-volatile resistance and synaptic multilevel analogue states are demonstrated by control over composition in ionic liquid-gated devices on silicon platforms. The extent of the resistance modulation can be dramatically controlled by the film microstructure. By simulating the time difference between postneuron and preneuron spikes as the input parameter of a gate bias voltage pulse, synaptic spike-timing-dependent plasticity learning behaviour is realized. The extreme sensitivity of electrical properties to defects in correlated oxides may make them a particularly suitable class of materials to realize artificial biological circuits that can be operated at and above room temperature and seamlessly integrated into conventional electronic circuits. Neuromorphic memory devices are modelled on biological design and open up new possibilities in computing. Here, the authors report the use of a nickelate as a channel material in a three-terminal device, controllable by varying stoichiometry in situvia ionic liquid gating." @default.
- W2109529551 created "2016-06-24" @default.
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- W2109529551 date "2013-10-31" @default.
- W2109529551 modified "2023-10-16" @default.
- W2109529551 title "A correlated nickelate synaptic transistor" @default.
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- W2109529551 doi "https://doi.org/10.1038/ncomms3676" @default.
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