Rectifying Resistive Memory Devices as Dynamic Complementary Artificial Synapses
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DOI: 10.3389/fnins.2018.00755
Abstract: Brain inspired computing is a pioneering computational method gaining momentum in recent years. Within this scheme, artificial neural networks are implemented using two main approaches: software algorithms and designated hardware architectures. However, while software implementations… read more here.
Keywords: resistive memory; memory devices; devices dynamic; rectifying resistive ... See more keywords