PACS numbers

07.05.Mh Neural networks, fuzzy logic, artificial intelligence 87.18.Sn Neural networks and synaptic communication 87.19.L− Neuroscience
  1. A.S. Ilin, A.N. Matsukatova et alMemristors for neuromorphic computing systems: basic parameters and methods of their optimizationPhys. Usp. 69 (4) (2026)
    07.05.Mh, 87.18.Sn, 87.19.L− (all)
  2. E.A. Illarionov “Machine learning methods in solar physicsPhys. Usp. 68 374–392 (2025)
    07.05.Mh, 84.35.+i, 96.60.−j (all)
  3. A.I. Musorin, A.S. Shorokhov et alPhotonics approaches to the implementation of neuromorphic computingPhys. Usp. 66 1211–1223 (2023)
    07.05.Mh, 42.79.Hp (all)
  4. A.N. Pisarchik, A.E. Hramov “Stochastic processes in the brain's neural network and their impact on perception and decision-makingPhys. Usp. 66 1224–1247 (2023)
    05.45.−a, 87.19.L−, 87.85.−d (all)
  5. G.V. Paradezhenko, A.A. Pervishko, D.I. Yudin “Machine learning for the search for topological spin texturesPhys. Usp. 66 1164–1173 (2023)
    07.05.Mh, 75.10.−b, 75.30.−m, 75.40.Cx (all)
  6. G.R. Ivanitskii “Uncertainties in comparing a human and an android robotPhys. Usp. 66 818–845 (2023)
    07.05.Mh, 87.18.−h, 87.85.St (all)
  7. O.V. Maslennikov, M.M. Pugavko et alNonlinear dynamics and machine learning of recurrent spiking neural networksPhys. Usp. 65 1020–1038 (2022)
    07.05.Mh, 84.35.+i, 87.19.L− (all)
  8. V.K. Vanag “Networks of spike oscillators and their application for creating autonomous intelligent devicesPhys. Usp. 65 440–452 (2022)
    07.05.Mh, 82.40.−g, 84.35.+i (all)
  9. M.I. Rabinovich, P. Varona “Nonlinear dynamics of creative thinking. Multimodal processes and the interaction of heteroclinic structuresPhys. Usp. 64 801–814 (2021)
    05.45.−a, 87.19.L−, 89.75.−k (all)
  10. G.R. Ivanitskii, A.A. Morozov “Subject of study — the aging brainPhys. Usp. 63 1092–1113 (2020)
    87.18.−h, 87.19.L−, 87.19.xt (all)
  11. G.R. Ivanitskii “X-men: humans with an unusual interaction between receptor systems who construct a world of new images within themselves (on the 140th anniversary of the birth of Academician P.P. Lazarev)Phys. Usp. 62 711–734 (2019)
    01.65.+g, 87.18.Sn, 87.19.−j, 87.19.La, 87.23.Kg (all)
  12. Yu.M. Romanovsky, V.P. Trifonenkov “Energetics and stochastic dynamics of intraneuron transportPhys. Usp. 59 121–140 (2016)
    87.10.−e, 87.16.Nn, 87.19.L− (all)
  13. L.V. Doronina-Amitonova, I.V. Fedotov et alNeurophotonics: optical methods to study and control the brainPhys. Usp. 58 345–364 (2015)
    42.81.−i, 87.19.L−, 87.85.D− (all)
  14. A.N. Pavlov, A.E. Hramov et alWavelet analysis in neurodynamicsPhys. Usp. 55 845–875 (2012)
    05.45.Tp, 05.45.Xt, 07.05.Mh, 87.19.L−, 95.75.Wx (all)
  15. M.I. Rabinovich, M.K. Muezzinoglu “Nonlinear dynamics of the brain: emotion and cognitionPhys. Usp. 53 357–372 (2010)
    05.45.−a, 87.18.Sn, 87.19.L−, 87.19.Ij (all)
  16. Ya.A. Smorodinskii “The Emperor’s new mind concerning computers, mind, and laws of physicsSov. Phys. Usp. 34 (2) 206–207 (1991)
    07.05.Bx, 07.05.Mh, 01.30.Vv (all)
  17. V.S. Dotsenko “Spin glasses, optimization, and biological applicationsSov. Phys. Usp. 32 187–187 (1989)
    01.30.Vv, 75.10.Nr, 87.18.Sn (all)
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