Temporal pattern recognition with delayed feedback spin-torque nano-oscillators
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-osci...
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| Veröffentlicht in: | Physical review applied 2019-08, Vol.12 (2), Article 024049 |
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| creator | 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 Grollier, J |
| description | 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. |
| doi_str_mv | 10.1103/physrevapplied.12.024049 |
| format | Article |
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| source | American Physical Society Journals |
| subjects | Condensed Matter Nonlinear Sciences Physics |
| title | Temporal pattern recognition with delayed feedback spin-torque nano-oscillators |
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