IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-28159-1.html
   My bibliography  Save this article

Binding events through the mutual synchronization of spintronic nano-neurons

Author

Listed:
  • Miguel Romera

    (Université Paris-Saclay
    Universidad Complutense de Madrid
    Unidad Asociada UCM/CSIC, Laboratorio de Heteroestructuras con Aplicación en Espintrónica)

  • Philippe Talatchian

    (Université Paris-Saclay
    Université Grenoble Alpes, CEA, CNRS, Grenoble INP, SPINTEC)

  • Sumito Tsunegi

    (National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center)

  • Kay Yakushiji

    (National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center)

  • Akio Fukushima

    (National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center)

  • Hitoshi Kubota

    (National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center)

  • Shinji Yuasa

    (National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center)

  • Vincent Cros

    (Université Paris-Saclay)

  • Paolo Bortolotti

    (Université Paris-Saclay)

  • Maxence Ernoult

    (Université Paris-Saclay
    Université Paris-Saclay, CNRS, Centre de Nanosciences et de Nanotechnologies)

  • Damien Querlioz

    (Université Paris-Saclay, CNRS, Centre de Nanosciences et de Nanotechnologies)

  • Julie Grollier

    (Université Paris-Saclay)

Abstract

The brain naturally binds events from different sources in unique concepts. It is hypothesized that this process occurs through the transient mutual synchronization of neurons located in different regions of the brain when the stimulus is presented. This mechanism of ‘binding through synchronization’ can be directly implemented in neural networks composed of coupled oscillators. To do so, the oscillators must be able to mutually synchronize for the range of inputs corresponding to a single class, and otherwise remain desynchronized. Here we show that the outstanding ability of spintronic nano-oscillators to mutually synchronize and the possibility to precisely control the occurrence of mutual synchronization by tuning the oscillator frequencies over wide ranges allows pattern recognition. We demonstrate experimentally on a simple task that three spintronic nano-oscillators can bind consecutive events and thus recognize and distinguish temporal sequences. This work is a step forward in the construction of neural networks that exploit the non-linear dynamic properties of their components to perform brain-inspired computations.

Suggested Citation

  • Miguel Romera & Philippe Talatchian & Sumito Tsunegi & Kay Yakushiji & Akio Fukushima & Hitoshi Kubota & Shinji Yuasa & Vincent Cros & Paolo Bortolotti & Maxence Ernoult & Damien Querlioz & Julie Grol, 2022. "Binding events through the mutual synchronization of spintronic nano-neurons," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28159-1
    DOI: 10.1038/s41467-022-28159-1
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-28159-1
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-28159-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. R. Lebrun & S. Tsunegi & P. Bortolotti & H. Kubota & A. S. Jenkins & M. Romera & K. Yakushiji & A. Fukushima & J. Grollier & S. Yuasa & V. Cros, 2017. "Mutual synchronization of spin torque nano-oscillators through a long-range and tunable electrical coupling scheme," Nature Communications, Nature, vol. 8(1), pages 1-7, August.
    2. A. Dussaux & B. Georges & J. Grollier & V. Cros & A.V. Khvalkovskiy & A. Fukushima & M. Konoto & H. Kubota & K. Yakushiji & S. Yuasa & K.A. Zvezdin & K. Ando & A. Fert, 2010. "Large microwave generation from current-driven magnetic vortex oscillators in magnetic tunnel junctions," Nature Communications, Nature, vol. 1(1), pages 1-6, December.
    3. Jacob Torrejon & Mathieu Riou & Flavio Abreu Araujo & Sumito Tsunegi & Guru Khalsa & Damien Querlioz & Paolo Bortolotti & Vincent Cros & Kay Yakushiji & Akio Fukushima & Hitoshi Kubota & Shinji Yuasa , 2017. "Neuromorphic computing with nanoscale spintronic oscillators," Nature, Nature, vol. 547(7664), pages 428-431, July.
    4. Miguel Romera & Philippe Talatchian & Sumito Tsunegi & Flavio Abreu Araujo & Vincent Cros & Paolo Bortolotti & Juan Trastoy & Kay Yakushiji & Akio Fukushima & Hitoshi Kubota & Shinji Yuasa & Maxence E, 2018. "Vowel recognition with four coupled spin-torque nano-oscillators," Nature, Nature, vol. 563(7730), pages 230-234, November.
    5. F. B. Mancoff & N. D. Rizzo & B. N. Engel & S. Tehrani, 2005. "Phase-locking in double-point-contact spin-transfer devices," Nature, Nature, vol. 437(7057), pages 393-395, September.
    6. Shehzaad Kaka & Matthew R. Pufall & William H. Rippard & Thomas J. Silva & Stephen E. Russek & Jordan A. Katine, 2005. "Mutual phase-locking of microwave spin torque nano-oscillators," Nature, Nature, vol. 437(7057), pages 389-392, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Steffen Wittrock & Salvatore Perna & Romain Lebrun & Katia Ho & Roberta Dutra & Ricardo Ferreira & Paolo Bortolotti & Claudio Serpico & Vincent Cros, 2024. "Non-hermiticity in spintronics: oscillation death in coupled spintronic nano-oscillators through emerging exceptional points," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    2. Rouven Dreyer & Alexander F. Schäffer & Hans G. Bauer & Niklas Liebing & Jamal Berakdar & Georg Woltersdorf, 2022. "Imaging and phase-locking of non-linear spin waves," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    3. Klaus Raab & Maarten A. Brems & Grischa Beneke & Takaaki Dohi & Jan Rothörl & Fabian Kammerbauer & Johan H. Mentink & Mathias Kläui, 2022. "Brownian reservoir computing realized using geometrically confined skyrmion dynamics," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
    4. Xing Chen & Flavio Abreu Araujo & Mathieu Riou & Jacob Torrejon & Dafiné Ravelosona & Wang Kang & Weisheng Zhao & Julie Grollier & Damien Querlioz, 2022. "Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. Jong-Guk Choi & Jaehyeon Park & Min-Gu Kang & Doyoon Kim & Jae-Sung Rieh & Kyung-Jin Lee & Kab-Jin Kim & Byong-Guk Park, 2022. "Voltage-driven gigahertz frequency tuning of spin Hall nano-oscillators," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    6. Martina Ahlberg & Sunjae Chung & Sheng Jiang & Andreas Frisk & Maha Khademi & Roman Khymyn & Ahmad A. Awad & Q. Tuan Le & Hamid Mazraati & Majid Mohseni & Markus Weigand & Iuliia Bykova & Felix Groß &, 2022. "Freezing and thawing magnetic droplet solitons," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    7. Ke Yang & Yanghao Wang & Pek Jun Tiw & Chaoming Wang & Xiaolong Zou & Rui Yuan & Chang Liu & Ge Li & Chen Ge & Si Wu & Teng Zhang & Ru Huang & Yuchao Yang, 2024. "High-order sensory processing nanocircuit based on coupled VO2 oscillators," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    8. Mitsumasa Nakajima & Katsuma Inoue & Kenji Tanaka & Yasuo Kuniyoshi & Toshikazu Hashimoto & Kohei Nakajima, 2022. "Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    9. Zhiwei Chen & Wenjie Li & Zhen Fan & Shuai Dong & Yihong Chen & Minghui Qin & Min Zeng & Xubing Lu & Guofu Zhou & Xingsen Gao & Jun-Ming Liu, 2023. "All-ferroelectric implementation of reservoir computing," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    10. Kilian D. Stenning & Jack C. Gartside & Luca Manneschi & Christopher T. S. Cheung & Tony Chen & Alex Vanstone & Jake Love & Holly Holder & Francesco Caravelli & Hidekazu Kurebayashi & Karin Everschor-, 2024. "Neuromorphic overparameterisation and few-shot learning in multilayer physical neural networks," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    11. Xiangpeng Liang & Yanan Zhong & Jianshi Tang & Zhengwu Liu & Peng Yao & Keyang Sun & Qingtian Zhang & Bin Gao & Hadi Heidari & He Qian & Huaqiang Wu, 2022. "Rotating neurons for all-analog implementation of cyclic reservoir computing," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    12. S. Jiang & S. Chung & M. Ahlberg & A. Frisk & R. Khymyn & Q. Tuan Le & H. Mazraati & A. Houshang & O. Heinonen & J. Åkerman, 2024. "Magnetic droplet soliton pairs," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    13. Zhuohui Liu & Qinghua Zhang & Donggang Xie & Mingzhen Zhang & Xinyan Li & Hai Zhong & Ge Li & Meng He & Dashan Shang & Can Wang & Lin Gu & Guozhen Yang & Kuijuan Jin & Chen Ge, 2023. "Interface-type tunable oxygen ion dynamics for physical reservoir computing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    14. Keqiang Zhu & Mario Carpentieri & Like Zhang & Bin Fang & Jialin Cai & Roman Verba & Anna Giordano & Vito Puliafito & Baoshun Zhang & Giovanni Finocchio & Zhongming Zeng, 2023. "Nonlinear amplification of microwave signals in spin-torque oscillators," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    15. Isidore Komofor Ngongiah & Balamurali Ramakrishnan & Hayder Natiq & Justin Roger Mboupda Pone & Gaetan Fautso Kuiate, 2022. "Josephson junction based on high critical-temperature superconductors: analysis, microcontroller implementation, and suppression of coexisting and chaotic attractors," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(9), pages 1-13, September.
    16. ZhuangEn Fu & Piumi I. Samarawickrama & John Ackerman & Yanglin Zhu & Zhiqiang Mao & Kenji Watanabe & Takashi Taniguchi & Wenyong Wang & Yuri Dahnovsky & Mingzhong Wu & TeYu Chien & Jinke Tang & Allan, 2024. "Tunneling current-controlled spin states in few-layer van der Waals magnets," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    17. Liao, Zhiqiang & Ma, Kaijie & Tang, Siyi & Sarker, Md Shamim & Yamahara, Hiroyasu & Tabata, Hitoshi, 2021. "Phase locking of ultra-low power consumption stochastic magnetic bits induced by colored noise," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    18. Yang Yiling & Katharine Shapcott & Alina Peter & Johanna Klon-Lipok & Huang Xuhui & Andreea Lazar & Wolf Singer, 2023. "Robust encoding of natural stimuli by neuronal response sequences in monkey visual cortex," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    19. Yiming Sun & Tao Lin & Na Lei & Xing Chen & Wang Kang & Zhiyuan Zhao & Dahai Wei & Chao Chen & Simin Pang & Linglong Hu & Liu Yang & Enxuan Dong & Li Zhao & Lei Liu & Zhe Yuan & Aladin Ullrich & Chris, 2023. "Experimental demonstration of a skyrmion-enhanced strain-mediated physical reservoir computing system," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    20. Tommaso Menara & Giacomo Baggio & Dani Bassett & Fabio Pasqualetti, 2022. "Functional control of oscillator networks," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28159-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.