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Temporal Pattern Recognition with Delayed-Feedback Spin-Torque Nano-Oscillators
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DOI：10.1103/PhysRevApplied.12.024049.png)
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Abstract
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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. 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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