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Article Dans Une Revue Physical Review Applied Année : 2019

Temporal pattern recognition with delayed feedback spin- torque nano-oscillators

Résumé

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.
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Dates et versions

hal-02400740 , version 1 (09-12-2019)

Identifiants

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M. Riou, J. Torrejon, B. Garitaine, F. Abreu Araujo, P. Bortolotti, et al.. Temporal pattern recognition with delayed feedback spin- torque nano-oscillators. Physical Review Applied, 2019, 12 (2), ⟨10.1103/PhysRevApplied.12.024049⟩. ⟨hal-02400740⟩
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