Nitrogen-induced ultralow power switching in flexible ZnO-based memristor for artificial synaptic learning
Sign Up to like & getrecommendations! Published in 2021 at "Applied Physics Letters"
DOI: 10.1063/5.0036667
Abstract: An energy-efficient memristive synapse is highly desired for the development of brain-like neurosynaptic chips. In this work, a ZnO-based memristive synapse with ultralow-power consumption was achieved by simple N-doping. The introduction of N atoms, as… read more here.
Keywords: learning; zno; ultralow power; synaptic learning ... See more keywords
Synaptic Learning With Augmented Spikes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3040969
Abstract: Traditional neuron models use analog values for information representation and computation, while all-or-nothing spikes are employed in the spiking ones. With a more brain-like processing paradigm, spiking neurons are more promising for improvements in efficiency… read more here.
Keywords: learning augmented; nothing spikes; augmented spikes; learning ... See more keywords