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Found 2 papers, 1 papers with code
A High Throughput Generative Vector Autoregression Model for Stochastic Synapses
By imitating the synaptic connectivity and plasticity of the brain, emerging electronic nanodevices offer new opportunities as the building blocks of neuromorphic systems.
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks
In this work, we assessed the performance and variability of RRAM-based neuromorphic circuits that were designed and fabricated using a 130\, nm technology node.
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