Neuromorphic computing through time-multiplexing with a spin-torque nano-oscillator
(2017) 2017 IEEE International Electron Devices Meeting (IEDM) — Location: San Francisco, CA (2.December.2017)
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- Abstract
- Fabricating powerful neuromorphic chips the size of a thumb requires miniaturizing their basic units: synapses and neurons. The challenge for neurons is to scale them down to submicrometer diameters while maintaining the properties that allow for reliable information processing: high signal to noise ratio, endurance, stability, reproducibility. In this work, we show that compact spin-torque nano-oscillators can naturally implement such neurons, and quantify their ability to realize an actual cognitive task. In particular, we show that they can naturally implement reservoir computing with high performance and detail the recipes for this capability.
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Citations
Riou, M., Abreu Araujo, F., Torrejon, J., Tsunegi, S., Khalsa, G., Querlioz, D., Bortolotti, P., Cros, V., Yakushiji, K., Fukushima, A., Kubota, H., Yuasa, S., Stiles, M. D., & Grollier, J. (2017). Neuromorphic computing through time-multiplexing with a spin-torque nano-oscillator. 2017 IEEE International Electron Devices Meeting (IEDM), 36(3), 804-807. https://doi.org/10.1109/iedm.2017.8268505 (Original work published 2017)