Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays

Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays

Neuroinspired unsupervised learning and pruning with subquantum CBRAM arrays, Published online: 14 December 2018; doi:10.1038/s41467-018-07682-0

To realize the potential of resistive RAM crossbar arrays as platforms for neuromorphic computing, reduced network-level energy consumption must be achieved. Here, the authors use a hardware/software co-design approach to realize reduced energy consumption during network training for the network.

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