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Using Reservoir Computing to Predict a Macroscopic Signal

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Bulletin of the Russian Academy of Sciences: Physics Aims and scope

Abstract

The authors study the ability of reservoir computing to predict a complex macroscopic signal with chaotic dynamics. To improve the efficiency of prediction, the phase space of the signal is reconstructed by adding delays. Characteristics of predictions and the parametric space of reservoir are studied, depending on the number of delays.

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REFERENCES

  1. Betzel, R.F., Gu,S., Medaglia, J.D., et al., Sci. Rep., 2016, vol. 6, p. 30770.

    Article  ADS  Google Scholar 

  2. Hramov, A.E., Koronovskii, A.A., Makarov, V.A., et al., Wavelets in Neuroscience, Heidelberg: Springer, 2015.

    Book  MATH  Google Scholar 

  3. Kuc, A., Korchagin, S., Maksimenko, V.A., et al., Front. Syst. Neurosci., 2021, vol. 15, p. 1.

    Article  Google Scholar 

  4. Frolov, N. and Hramov, A.E., Chaos, 2021, vol. 31, no. 10, p. 101106.

    Article  ADS  Google Scholar 

  5. Makarov, V.V., Zhuravlev, M.O., Runnova, A.E., et al., Phys. Rev. E, vol. 98, no. 6, p. 062413.

  6. Weyn, J.A., Durran, D.R., and Caruana, R., J. Adv. Model. Earth Syst., 2019, vol. 11, no. 8, p. 2680.

    Article  ADS  Google Scholar 

  7. Esteva, A., Kuprel, B., Novoa, R.A., et al., Nature, 2017, vol. 542, no. 7639, p. 115.

    Article  ADS  Google Scholar 

  8. Bzdok, D. and Ioannidis, J.P., Trends Neurosci., 2019, vol. 42, no. 4, p. 251.

    Article  Google Scholar 

  9. Vlachas, P.R., Byeon, W., Wan, Z.Y., et al., Proc. R. Soc. A, 2018, vol. 474, no. 2213, p. 20170844.

    Article  ADS  Google Scholar 

  10. Pathak, J., Wikner, A., Fussell, R., et al., Chaos, 2014, vol. 28, no. 4, p. 041101.

    Article  ADS  Google Scholar 

  11. Griffith, A., Pomerance, A., and Gauthier, D.J., Chaos, 2019, vol. 29, no. 12, p. 123108.

    Article  ADS  MathSciNet  Google Scholar 

  12. Makarov, V., Koronovskii, A.A., Maksimenko, V.A., et al., Chaos, Solitons Fractals, 2016, vol. 84, p. 23.

    Article  ADS  Google Scholar 

  13. Kuznetsov, S.P., Dinamicheskii khaos (Dynamic Chaos), Moscow: Fizmatlit, 2001.

  14. Rhodes, C. and Morari, M., Phys. Rev. E, 1997, vol. 55, no. 5, p. 6162.

    Article  ADS  Google Scholar 

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Funding

This work was supported by RF Presidential Grants no. MK-580.2022.1.6 and NSh-589.2022.1.2.

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Authors and Affiliations

  1. Neuroscience and Cognitive Technology Laboratory, Innopolis University, 420500, Innopolis, Russia

    A. V. Andreev, V. M. Antipov & A. A. Badarin

  2. Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, 236041, Kaliningrad, Russia

    A. V. Andreev, V. M. Antipov & A. A. Badarin

Authors
  1. A. V. Andreev
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  2. V. M. Antipov
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  3. A. A. Badarin
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Corresponding author

Correspondence to A. V. Andreev.

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The authors declare that they have no conflicts of interest.

Additional information

Translated by M. Hannibal

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Andreev, A.V., Antipov, V.M. & Badarin, A.A. Using Reservoir Computing to Predict a Macroscopic Signal. Bull. Russ. Acad. Sci. Phys. 87, 1523–1527 (2023). https://doi.org/10.3103/S1062873823703616

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  • DOI: https://doi.org/10.3103/S1062873823703616

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