582 citations · 1k across the 20 of their papers we have counts for
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Multilayer spintronic neural networks with radio-frequency connections
Andrew Ross, Nathan Leroux, Arnaud de Riz +18
Spintronic nano-synapses and nano-neurons perform complex cognitive computations with high accuracy thanks to their rich, reproducible and controllable magnetization dynamics. Thes…
Classification of multi-frequency RF signals by extreme learning, using magnetic tunnel junctions as neurons and synapses
Nathan Leroux, Danijela Marković, Dédalo Sanz-Hernández +8
Extracting information from radiofrequency (RF) signals using artificial neural networks at low energy cost is a critical need for a wide range of applications from radars to healt…
Characterization and modeling of spiking and bursting in experimental NbOx neuron
Marie Drouhin, Shuai Li, Matthieu Grelier +7
Hardware spiking neural networks hold the promise of realizing artificial intelligence with high energy efficiency. In this context, solid-state and scalable memristors can be used…
Imaging the itinerant-to-localized transmutation of electrons across the metal-to-insulator transition in VO
Maximilian Thees, Min-Han Lee, Rosa Luca Bouwmeester +14
In solids, strong repulsion between electrons can inhibit their movement and result in a "Mott" metal-to-insulator transition (MIT), a fundamental phenomenon whose understanding ha…
Superconducting bimodal ionic photo-memristor
Ralph El Hage, Vincent Humbert, Victor Rouco +7
Memristive circuit elements constitute a cornerstone for novel electronic applications, such as neuromorphic computing, called to revolutionize information technologies. By definit…