1. Temporal pattern recognition with delayed feedback spin-torque nano-oscillators
- Author
-
Riou, M., Torrejon, J., Garitaine, B., Araujo, F. Abreu, Bortolotti, P., Cros, V., Tsunegi, S., Yakushiji, K., Fukushima, A., Kubota, H., Yuasa, S., Querlioz, D., Stiles, M. D., and Grollier, J.
- Subjects
Physics - Applied Physics - Abstract
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 on the intrinsic short-term memory of the oscillators. In this study, we extend the memory of the spin-torque nano-oscillators through time-delayed feedback. We leverage this extrinsic memory to increase the efficiency of solving pattern recognition tasks that require memory to discriminate different inputs. The large tunability of these non-linear oscillators allows us to control and optimize the delayed feedback memory using different operating conditions of applied current and magnetic field.
- Published
- 2019
- Full Text
- View/download PDF