期刊:Nanoscale [The Royal Society of Chemistry] 日期:2020-01-01卷期号:12 (30): 16348-16358被引量:40
标识
DOI:10.1039/d0nr03141k
摘要
Neuromorphic computing systems have shown powerful capability in tasks, such as recognition, learning, classification and decision-making, which are both challenging and inefficient in using the traditional computation architecture.