'Stateful' threshold switching for neuromorphic learning.
Sign Up to like & getrecommendations! Published in 2022 at "Nanoscale"
DOI: 10.1039/d1nr05502j
Abstract: Memristors have promising prospects in developing neuromorphic chips that parallel the brain-level power efficiency and brain-like computational functions. However, the limited available ON/OFF states and high switching voltage in conventional resistive switching (RS) constrain its… read more here.
Keywords: neuromorphic learning; threshold switching; power; stateful threshold ... See more keywords
The Role of Short-Term Plasticity in Neuromorphic Learning: Learning from the Timing of Rate-Varying Events with Fatiguing Spike-Timing-Dependent Plasticity
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Nanotechnology Magazine"
DOI: 10.1109/mnano.2018.2845479
Abstract: Neural networks (NNs) have been able to provide record-breaking performance in several machine-learning tasks, such as image and speech recognition, natural-language processing, playing complex games, and data analytics for scientific or business purposes [1]. They… read more here.
Keywords: neuromorphic learning; term plasticity; role short; plasticity neuromorphic ... See more keywords