Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing
Science2019Vol. 364(6440), pp. 570–574
Citations Over TimeTop 1% of 2019 papers
Elliot J. Fuller, Scott T. Keene, Armantas Melianas, Zhongrui Wang, Sapan Agarwal, Yiyang Li, Yaakov Tuchman, Conrad D. James, Matthew Marinella, J. Joshua Yang, Alberto Salleo, A. Alec Talin
Abstract
Neuromorphic computers could overcome efficiency bottlenecks inherent to conventional computing through parallel programming and readout of artificial neural network weights in a crossbar memory array. However, selective and linear weight updates and 1 billion write-read operations and support >1-megahertz write-read frequencies.
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