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Temporal Pattern Recognition with Delayed-Feedback Spin-Torque Nano-Oscillators
- Source :
- Physical Review Applied, Physical Review Applied, American Physical Society, 2019, 12 (2), ⟨10.1103/PhysRevApplied.12.024049⟩
- Publication Year :
- 2019
- Publisher :
- American Physical Society (APS), 2019.
-
Abstract
- International audience; 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.
- Subjects :
- Computer science
FOS: Physical sciences
General Physics and Astronomy
Applied Physics (physics.app-ph)
02 engineering and technology
01 natural sciences
0103 physical sciences
Nano
Hardware_INTEGRATEDCIRCUITS
Torque
Leverage (statistics)
[NLIN]Nonlinear Sciences [physics]
[PHYS.COND]Physics [physics]/Condensed Matter [cond-mat]
010306 general physics
[PHYS]Physics [physics]
Data processing
Hardware_MEMORYSTRUCTURES
business.industry
Pattern recognition
Physics - Applied Physics
021001 nanoscience & nanotechnology
Neuromorphic engineering
Artificial intelligence
0210 nano-technology
business
Efficient energy use
Subjects
Details
- ISSN :
- 23317019
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Physical Review Applied
- Accession number :
- edsair.doi.dedup.....b3ce7f5f7e9fe3446853fbcee2c6f45e