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Neuromorphic computation: Sparse codes from memristor grids
Nature Nanotechnology ( IF 38.1 ) Pub Date : 2017-05-22 00:00:00 , DOI: 10.1038/nnano.2017.112
Bruno A. Olshausen , Christopher J. Rozell

The adjustable resistive state of memristors makes it possible to implement sparse coding algorithms naturally and efficiently.

中文翻译:

神经形态计算:忆阻器网格中的稀疏代码

忆阻器的可调电阻状态使自然而有效地实施稀疏编码算法成为可能。
更新日期:2017-09-06
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