Issues

 / 

1994

 / 

October

  

Reviews of topical problems


From the dynamics of population autowaves generated by living cells to neuroinformatics

, ,
Institute for Theoretical and Experimental Biophysics, Russian Academy of Sciences, Institutskaya str. 3, Pushchino, Moscow Region, 142290, Russian Federation

Research into living cells and their communities can be extended to more general problems, e.g., what is the algorithm of data processing in living systems, or what is the difference between living systems and computers. It has been shown that a computerised system simulating cell behaviour, i.e., multiplication, motility, memory, and taxis, can be better at image processing than video-based automatic devices. Study of the dynamics of population waves formed by living cells is of special interest for autowave physics since population waves differ essentially from the ’classical’ waves in active media. Mathematical models of population waves are found to feature an additional term describing not a chaotic but a directed motion of individual cells (’the effect of chemotaxis’). Detailed analysis of models like these and related phenomena (e.g., pattern formation as a result of population wave interaction, or symmetry bursting of population wave patterns) should be the subject of further research.

Fulltext pdf (1.1 MB)
Fulltext is also available at DOI: 10.1070/PU1994v037n10ABEH000049
PACS: 87.22.-q, 89.70.+c
DOI: 10.1070/PU1994v037n10ABEH000049
URL: https://ufn.ru/en/articles/1994/10/b/
A1994PT70500002
Citation: Ivanitskii G R, Medvinskii A B, Tsyganov M A "From the dynamics of population autowaves generated by living cells to neuroinformatics" Phys. Usp. 37 961–989 (1994)
BibTexBibNote ® (generic)BibNote ® (RIS)MedlineRefWorks

Оригинал: Иваницкий Г Р, Медвинский А Б, Цыганов М А «От динамики популяционных автоволн, формируемых живыми клетками, к нейроинформатике» УФН 164 1041–1072 (1994); DOI: 10.3367/UFNr.0164.199410b.1041

References (172) Cited by (62) Similar articles (20) ↓

  1. G.R. Ivanitskii, A.B. Medvinskii, M.A. Tsyganov “From disorder to order as applied to the movement of micro-organisms34 (4) 289–316 (1991)
  2. M.A. Tsyganov, V.N. Biktashev et alWaves in systems with cross-diffusion as a new class of nonlinear waves50 263–286 (2007)
  3. G.N. Borisyuk, R.M. Borisyuk et alModels of neural dynamics in brain information processing — the developments of ’the decade’45 1073–1095 (2002)
  4. H.D. Abarbanel, M.I. Rabinovich et alSynchronisation in neural networks39 337–362 (1996)
  5. G.R. Ivanitskii, A.B. Medvinskii et alFrom Maxwell’s demon to the self-organization of mass transfer processes in living systems41 1115–1126 (1998)
  6. G.R. Ivanitskii “21st century: what is life from the perspective of physics?53 327–356 (2010)
  7. D.S. Chernavskii “The origin of life and thinking from the viewpoint of modern physics43 151–176 (2000)
  8. M.I. Rabinovich, M.K. Muezzinoglu “Nonlinear dynamics of the brain: emotion and cognition53 357–372 (2010)
  9. A.B. Medvinskii, S.V. Petrovskii et alSpatio-temporal pattern formation, fractals, and chaos in conceptual ecological models as applied to coupled plankton-fish dynamics45 27–57 (2002)
  10. A.N. Pavlov, A.E. Hramov et alWavelet analysis in neurodynamics55 845–875 (2012)
  11. F.I. Ataullakhanov, V.I. Zarnitsyna et alA new class of stopping self-sustained waves: a factor determining the spatial dynamics of blood coagulation45 619–636 (2002)
  12. Yu.M. Romanovskii, V.A. Teplov “The physical bases of cell movement. The mechanisms of self-organisation of amoeboid motility38 521–542 (1995)
  13. G.R. Ivanitskii “The self-organizing dynamic stability of far-from-equilibrium biological systems60 705–730 (2017)
  14. V.V. Klinshov, V.I. Nekorkin “Synchronization of delay-coupled oscillator networks56 1217–1229 (2013)
  15. M.B. Menskii “Concept of consciousness in the context of quantum mechanics48 389–409 (2005)
  16. V.K. Vanag “Waves and patterns in reaction-diffusion systems. Belousov-Zhabotinsky reaction in water-in-oil microemulsions47 923–941 (2004)
  17. L.V. Doronina-Amitonova, I.V. Fedotov et alNeurophotonics: optical methods to study and control the brain58 345–364 (2015)
  18. Yu.L. Klimontovich “Nonlinear Brownian motion37 737–766 (1994)
  19. N.M. Astaf’eva “Wavelet analysis: basic theory and some applications39 1085–1108 (1996)
  20. I.M. Dremin, O.V. Ivanov, V.A. Nechitailo “Wavelets and their uses44 447–478 (2001)

The list is formed automatically.

© 1918–2024 Uspekhi Fizicheskikh Nauk
Email: ufn@ufn.ru Editorial office contacts About the journal Terms and conditions