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.

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