RSS feeds
ÐóññêèéEnglish
Issue 7, 2026
Volume year page
Issues Authors PACS Subscription For authors

Issues

 / 

2010

 / 

April

←  →

Reviews of topical problems


Nonlinear dynamics of the brain: emotion and cognition

 a,  b
a Federal Research Center A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, ul. Ulyanova 46, Nizhny Novgorod, 603000, Russian Federation
b University of California, 9500 Gilman Dr., San Diego, California, 92093-0402, USA

Experimental investigations of neural system functioning and brain activity are standardly based on the assumption that perceptions, emotions, and cognitive functions can be understood by analyzing steady-state neural processes and static tomographic snapshots. The new approaches discussed in this review are based on the analysis of transient processes and metastable states. Transient dynamics is characterized by two basic properties, structural stability and information sensitivity. The ideas and methods that we discuss provide an explanation for the occurrence of and successive transitions between metastable states observed in experiments, and offer new approaches to behavior analysis. Models of the emotional and cognitive functions of the brain are suggested. The mathematical object that represents the observed transient brain processes in the phase space of the model is a structurally stable heteroclinic channel. The possibility of using the suggested models to construct a quantitative theory of some emotional and cognitive functions is illustrated.

Fulltext pdf (778 KB)
Fulltext is also available at DOI: 10.3367/UFNe.0180.201004b.0371
PACS: 05.45.−a, 87.18.Sn, 87.19.L−, 87.19.Ij (all)
DOI: 10.3367/UFNe.0180.201004b.0371
URL: https://ufn.ru/en/articles/2010/4/b/
000280543000002
2-s2.0-77958569184
2010PhyU...53..357R
Citation: Rabinovich M I, Muezzinoglu M K "Nonlinear dynamics of the brain: emotion and cognition" Phys. Usp. 53 357–372 (2010)
BibTexBibNote ® (generic)BibNote ® (RIS)MedlineRefWorks

Îðèãèíàë: Ðàáèíîâè÷ Ì È, Ìþåçèíîëó Ì Ê «Íåëèíåéíàÿ äèíàìèêà ìîçãà: ýìîöèè è èíòåëëåêòóàëüíàÿ äåÿòåëüíîñòü» ÓÔÍ 180 371–387 (2010); DOI: 10.3367/UFNr.0180.201004b.0371

References (140) Cited by (67) ↓ Similar articles (20)

  1. Bigliassi M, Antonio D S et al Restorative Neurology And Neuroscience (2026)
  2. Lubashevsky I, Lubashevskiy V Cognitive Systems Research 92 101374 (2025)
  3. Mulc D, Vukojevic Ja et al Sensors 25 (2) 409 (2025)
  4. Aranson I S, Malekhanov A I et al Radiophys Quantum El 68 (4) 321 (2025)
  5. Yang Ch, Li G et al Commun Biol 8 (1) (2025)
  6. Antipova E S Jour 16 (4) 27 (2023)
  7. ªmel’yanova Tetyana, Yarkho T i dr InterConf+ (32(151)) 165 (2023)
  8. Fagerholm E D, Dezhina Z et al Neuroscience & Biobehavioral Reviews 146 105070 (2023)
  9. Ivanitskii G R Uspekhi Fizicheskikh Nauk 193 (08) 872 (2023) [Ivanitskii G R Phys. Usp. 66 (08) 818 (2023)]
  10. Aravind M, Meyer-Ortmanns H Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (10) (2023)
  11. Meyer-Ortmanns H Front. Netw. Physiol. 3 (2023)
  12. Kamiya Sh, Kawakita G et al J. Neurosci. 43 (2) 270 (2023)
  13. Zhulego V, Ushakov V et al Procedia Computer Science 213 602 (2022)
  14. Vanag V K Uspekhi Fizicheskikh Nauk 477 (2022)
  15. Vanag V K Phys. Usp. 65 (05) 440 (2022)
  16. ªmel’yanova Tetyana, Legeida Al³na, Legeida D InterConf+ (26(129)) 98 (2022)
  17. Nikolov N A, Novikova T G et al Radioelectron.Commun.Syst. 65 (5) 235 (2022)
  18. Nikolov M O, Novikova T G et al Radioelectron.Commun.Syst. 65 (10) 532 (2022)
  19. Sidorov K, Bodrina N, Filatova N Communications In Computer And Information Science Vol. Data Analytics and Management in Data Intensive DomainsEMG and EEG Pattern Analysis for Monitoring Human Cognitive Activity during Emotional Stimulation1427 Chapter 7 (2021) p. 95
  20. Sidorov K V Lecture Notes In Networks And Systems Vol. Informatics and Cybernetics in Intelligent SystemsEmotiogenic Stimulator of the Human Cognitive Activity Level228 Chapter 21 (2021) p. 219
  21. Hramov A E, Koronovskii A A et al Wavelets in Neuroscience Springer Series In Synergetics Chapter 1 (2021) p. 1
  22. García-Martínez B, Fernández-Caballero A et al Neural Comput & Applic 33 (15) 9343 (2021)
  23. Sidorov K V, Bodrina N I, Filatova N N Studies In Computational Intelligence Vol. Advances in Neural Computation, Machine Learning, and Cognitive Research IVMonitoring Human Cognitive Activity Through Biomedical Signal Analysis925 Chapter 37 (2021) p. 309
  24. Bodrina N, Sidorov K, Filatova N Lecture Notes In Networks And Systems Vol. Data Science and Intelligent SystemsThinking Activity Dynamics Evaluation Based on EEG Analysis231 Chapter 44 (2021) p. 537
  25. Kesler Sh R, Tang T et al Front. Neurol. 12 (2021)
  26. Lubashevsky I, Plavinska N Physics of the Human Temporality Understanding Complex Systems Chapter 6 (2021) p. 419
  27. Stylianou O, Racz F S et al Front. Hum. Neurosci. 15 (2021)
  28. Rabinovich M I, Varona P Uspekhi Fizicheskikh Nauk 191 (08) 846 (2021)
  29. Orkan O B, Özgören M, Karaçalı B Neural Networks 143 452 (2021)
  30. Martínez-Rodrigo A, García-Martínez B et al Sensors 21 (9) 3050 (2021)
  31. Filatova N, Bodrina N et al Advances In Intelligent Systems And Computing Vol. Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19)Biotechnical System for the Study of Processes of Increasing Cognitive Activity Through Emotional Stimulation1156 Chapter 56 (2020) p. 548
  32. Kia B, Mendes A et al PLoS ONE 15 (3) e0228534 (2020)
  33. Sidorov K V, Filatova N N Advances In Intelligent Systems And Computing Vol. Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19)Interval Signs Enlargement Algorithm in the Classification Problem of Biomedical Signals1156 Chapter 3 (2020) p. 20
  34. Runnova A E, Zhuravlev M O et al Tech. Phys. Lett. 46 (6) 556 (2020)
  35. Sidorov K V, Bodrina N I Advances In Intelligent Systems And Computing Vol. Software Engineering Perspectives in Intelligent SystemsMonitoring the Characteristics of Human Emotional Reactions Based on the Analysis of Attractors Reconstructed According to EEG Patterns1295 Chapter 40 (2020) p. 430
  36. Lombardi A, Amoroso N et al Applied Sciences 10 (9) 3275 (2020)
  37. Zhuravlev M O, Ukolov R V et al 2020 International Conference Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS), (2020) p. 558
  38. Sidorov K V, Filatova N N, Shemaev P D Advances In Intelligent Systems And Computing Vol. Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18)An Interpreter of a Human Emotional State Based on a Neural-Like Hierarchical Structure874 Chapter 48 (2019) p. 483
  39. Filatova N, Sidorov K et al Advances In Intelligent Systems And Computing Vol. Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18)Analyzing Video Information by Monitoring Bioelectric Signals875 Chapter 35 (2019) p. 329
  40. Ivanitskii G R Uspekhi Fizicheskikh Nauk 189 (07) 759 (2019) [Ivanitskii G R Phys.-Usp. 62 (7) 711 (2019)]
  41. Khobotov A G, Khil’ko A I, Tel’nykh A A Radiophys Quantum El 61 (1) 69 (2018)
  42. Filatova N N, Sidorov K V, Shemaev P D Advances In Intelligent Systems And Computing Vol. Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17)Prediction Properties of Attractors Based on Their Fuzzy Trend679 Chapter 25 (2018) p. 244
  43. Filatova N N, Sidorov K V et al 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC), (2018) p. 1
  44. Bazenkov N, Vorontsov D et al Sci. Tech. Inf. Proc. 45 (5) 283 (2018)
  45. Ivanitskii G R Phys.-Usp. 61 (9) 871 (2018)
  46. Ivanitskii G R Uspekhi Fizicheskikh Nauk 187 (07) 757 (2017) [Ivanitskii G R Phys.-Usp. 60 (7) 705 (2017)]
  47. Kuznetsov O P Autom Remote Control 78 (3) 475 (2017)
  48. Slapšinskaitė Agnė, Hristovski R et al Front. Psychol. 07 (2017)
  49. Katkova O, Safin A et al 2017 Progress In Electromagnetics Research Symposium - Spring (PIERS), (2017) p. 977
  50. Danilov O B, Rosanov N N et al Opt. Spectrosc. 120 (4) 646 (2016)
  51. Ashwin P, Coombes S, Nicks R J. Math. Neurosc. 6 (1) (2016)
  52. Chen Sh, Langley Ja et al Brain Connectivity 6 (4) 326 (2016)
  53. Selskii A, Makarov V A Regul. Chaot. Dyn. 21 (1) 97 (2016)
  54. Chen Sh, Ji B et al 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (2016) p. 6295
  55. Prieto A, Prieto B et al Neurocomputing 214 242 (2016)
  56. Chernavskaya O D, Chernavskii D S BIOPHYSICS 61 (1) 155 (2016)
  57. Chernavskaya O D, Chernavskii D S et al Biologically Inspired Cognitive Architectures 12 144 (2015)
  58. Hramov A E, Koronovskii A A et al Wavelets in Neuroscience Springer Series In Synergetics Chapter 1 (2015) p. 1
  59. Rabinovich M I, Tristan I, Varona P Neuroscience & Biobehavioral Reviews 55 18 (2015)
  60. Ivanitskii G R, Deev A A, Khizhnyak E P Uspekhi Fizicheskikh Nauk 184 (1) 43 (2014) [Ivanitskii G R, Deev A A, Khizhnyak E P Phys.-Usp. 57 (1) 37 (2014)]
  61. Grubov V V, Koronovskii A A et al Bull. Russ. Acad. Sci. Phys. 78 (12) 1242 (2014)
  62. Klinshov V V, Nekorkin V I Phys.-Usp. 56 (12) 1217 (2013)
  63. Pavlov A N, Hramov A E et al Uspekhi Fizicheskikh Nauk 182 (9) 905 (2012)
  64. Grubov V V, Sitnikova E Yu et al Bull. Russ. Acad. Sci. Phys. 76 (12) 1361 (2012)
  65. Ivanitskii G R, Deev A A, Tsyganov M A Her. Russ. Acad. Sci. 81 (6) 637 (2011)
  66. Ivanitskii G R Uspekhi Fizicheskikh Nauk 181 (4) 451 (2011)
  67. de Franciscis S, Torres J J, Marro J Phys. Rev. E 82 (4) (2010)
© 1918–2026 Uspekhi Fizicheskikh Nauk
Email: ufn@ufn.ru Editorial office contacts About the journal Terms and conditions