Advanced Electronic Materials · 2019 · 98 citations · 34 references
Life SciencesElectrical EngineeringMaterials ScienceMemorySemiconductor DevicesSynaptic PlasticityMemory DevicesMemristive MaterialsNeural CircuitsShort-term Synaptic PlasticitySpike-timing-dependent PlasticitySynaptic Transmission2D Memristive MaterialsArtificial Synapse MaterialsConductive Filament FormationDynamic RangeMemristive CircuitsNeuromorphic DevicesNeuromorphic HardwareNeuromorphic Synaptic Materials
Abstract Inspired by the human brain, the quest for high‐performing neuromorphic architecture has recently gained more attention, which can be achieved by two‐terminal memristors. However, due to random and uncontrolled filament formation during a typical switching process, conventional memristors suffer from severe shortcomings such as temporal/spatial reproducibility as well as trivial sensitivity against applied spikes, however all these properties are crucial for accurate and quick information processing. Here, reproducible and robust two serially connected memristors comprised of ZnO and vertically grown WS 2 layers are reported. The device demonstrates remarkable tunable dynamic range along with comprehensive synaptic functions, including short‐ to long‐term plasticity, paired‐pulse facilitation, and spike‐timing‐dependent plasticity. Vertically aligned WS 2 layers confine the conduction along 1D channel and drastically enhance the performance. The dynamic processes of memorizing and forgetting are mimicked through a 3 × 3 memristive synapse array. A unique platform to design high‐performing and reproducible artificial synapses for neuromorphic computing is provided.
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Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Zhongrui Wang, Saumil Joshi, Sergey Savel’ev et al. · Nature Materials · 2016 · 2.3K citations · Full text
Short-term plasticity and long-term potentiation mimicked in single inorganic synapses
Takeo Ohno, Tsuyoshi Hasegawa, Tohru Tsuruoka et al. · Nature Materials · 2011 · 1.8K citations
Organic electronics for neuromorphic computing
Yoeri van de Burgt, Armantas Melianas, Scott T. Keene et al. · Nature Electronics · 2018 · 1.1K citations
Natural Sciences, Electrical Engineering, Materials Science +12