175 citations · 343 across the 24 of their papers we have counts for
9 papers · 1 filter
Spintronics for neuromorphic computing
J. Grollier, D. Querlioz, K. Y. Camsari +3
Neuromorphic computing uses brain-inspired principles to design circuits that can perform computational tasks with superior power efficiency to conventional computers. Approaches t…
Binding events through the mutual synchronization of spintronic nano-neurons
Miguel Romera, Philippe Talatchian, Sumito Tsunegi +9
The brain naturally binds events from different sources in unique concepts. It is hypothesized that this process occurs through the transient mutual synchronization of neurons loca…
Designing large arrays of interacting spin-torque nano-oscillators for microwave information processing
Philippe Talatchian, Miguel Romera, Flavio Abreu Araujo +6
Arrays of spin-torque nano-oscillators are promising for broadband microwave signal detection and processing, as well as for neuromorphic computing. In many of these applications,…
Temporal pattern recognition with delayed feedback spin-torque nano-oscillators
M. Riou, J. Torrejon, B. Garitaine +11
The recent demonstration of neuromorphic computing with spin-torque nano-oscillators has opened a path to energy efficient data processing. The success of this demonstration hinged…
Microwave neural processing and broadcasting with spintronic nano-oscillators
P. Talatchian, M. Romera, S. Tsunegi +14
Can we build small neuromorphic chips capable of training deep networks with billions of parameters? This challenge requires hardware neurons and synapses with nanometric dimension…
Nano-oscillator-based classification with a machine learning-compatible architecture
Damir Vodenicarevic, Nicolas Locatelli, Julie Grollier +1
Pattern classification architectures leveraging the physics of coupled nano-oscillators have been demonstrated as promising alternative computing approaches, but lack effective lea…