I-Ting Wang, Yen-Chuan Lin, Yu-Fen Wang, Chung-Wei Hsu, T. Hou
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引用次数: 96
Abstract
A high-density 3D synaptic architecture based on self-rectifying Ta/TaOx/TiO2/Ti RRAM is proposed as an energy- and cost-efficient neuromorphic computation hardware. The device shows excellent analog synaptic features that can be accurately described by the physical and compact models. Ultra-low energy consumption comparable to that of a biological synapse (<;10 fJ/spike) has been demonstrated for the first time.
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