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Although there are many candidates for future computing systems, memristor-based neural crossbar (NC) is considered especially promising, thanks to their low power consumption, high density, and fault tolerance. However, their implementation is still hindered by the limitations of CMOS neuron and learning cells. In this paper, we present a memristor-based NC that implements on-chip supervised learning...
The memristor-based neural learning network is considered as one of the candidates for future computing systems thanks to its low power, high density and defect-tolerance. However, its application is still hindered by the limitations of huge neuron structure and complicated learning cell. In this paper, we present a memristor-based neural crossbar circuit to implement on-chip supervised learning rule...
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