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All issues Volume 366 (2026) EPJ Web Conf., 366 (2026) 01008 References
Open Access
Issue
EPJ Web Conf.
Volume 366, 2026
10th Complexity-Disorder Days 2025
Article Number 01008
Number of page(s) 34
DOI https://doi.org/10.1051/epjconf/202636601008
Published online 29 April 2026
  1. R. E. Ulanowicz, A third window-natural life beyond Newton and Darwin (2009) [Google Scholar]
  2. S. A. Kauffman, A. Roli, A third transition in science? Interface Focus 13 (2023). https://doi.org/10.1098/rsfs.2022.0063 [Google Scholar]
  3. E. Morin, complex thinking for a complex world about reductionism, disjunction and systemism. systems journal 2 (2014) [Google Scholar]
  4. V. Thomas-Vaslin, H. K. Altes, R. J. de Boer, D. Klatzmann, Comprehensive assessment and mathematical modeling of T cell population dynamics and homeostasis. J Immunol 180(2008). https://doi.org/10.4049/jimmunol.180.4.2240 [Google Scholar]
  5. V. Thomas-Vaslin, A. Six, B. Bellier, D. Klatzmann, “Lymphocyte Dynamics and Repertoires, Biological Methods” in Encyclopedia of Systems Biology, W. Dubitzky, O. Wolkenhauer, K.-H. Cho, H. Yokota, Eds. (Springer New York, 2013), 10.1007/978-1-4419-9863-7_95 chap. Chapter 95. https://doi.org/10.1007/978-1-4419-9863-7_95 [Google Scholar]
  6. V. Thomas-Vaslin, A. Six, B. Bellier, D. Klatzmann, “Lymphocyte Dynamics and Repertoires, Modeling” in Encyclopedia of Systems Biology, W. Dubitzky, O. Wolkenhauer, K.-H. Cho, H. Yokota, Eds. (Springer New York, New York, NY, 2013), 10.1007/978-1-4419-9863-7_96 chap. Chapter 96. https://doi.org/10.1007/978-1-4419-9863-7_96 [Google Scholar]
  7. J. Vibert, V. Thomas-Vaslin, Modelling T cell proliferation: Dynamics heterogeneity depending on cell differentiation, age, and genetic background. PLoS Comput Biol 13(2017). https://doi.org/10.1371/journal.pcbi.1005417 [Google Scholar]
  8. C. Lavelle et al., From molecules to organisms: towards multiscale integrated models of biological systems. Theoretical Biology Insights 1 (2008), http://www.la-press.com/from-molecules-to-organisms-towards-multiscale-integrated-models-of-bi-article-a1056 [Google Scholar]
  9. V. Thomas-Vaslin, “Understanding and Modeling the Complexity of the Immune System” in First Complex Systems Digital Campus World E-Conference 2015, P. Bourgine, P. Collet, P. Parrend, Eds. (Springer International Publishing, Cham, 2017), 10.1007/978-3-319-45901-1_29 chap. Chapter29. https://doi.org/10.1007/978-3-319-45901-1_29 [Google Scholar]
  10. B. Bellier, V. Thomas-Vaslin, M. F. Saron, D. Klatzmann, Turning immunological memory into amnesia by depletion of dividing T cells. Proc Natl Acad Sci U S A 100 (2003). https://doi.org/10.1073/pnas.1936194100 [Google Scholar]
  11. V. Thomas-Vaslin, “Multi-scale complexity of the immune system : Evolution, from chaos to fractals” in Le vivant critique et chaotique, A. S. Nicolas Glade, Ed. (2015), https://hal.archives-ouvertes.fr/hal-01298282 [Google Scholar]
  12. V. Thomas-Vaslin, Individuation and the Organization in Complex Living Ecosystem: Recursive Integration and Self-assertion by Holon-Lymphocytes. Acta Biotheor 68 (2020). https://doi.org/10.1007/s10441-019-09364-w [Google Scholar]
  13. D. Pastor, Q.-T. Nguyen, Random Distortion Testing and Optimality of Thresholding Tests. IEEE Transactions on Signal processing 61 (2013) [Google Scholar]
  14. D. Pastor, F. X. Socheleau, Random distortion testing with linear measurements. Signal processing 145 (2018) [Google Scholar]
  15. D. Pastor, E. Beurier, V. Thomas-Vaslin, A multiplicity of statistical models for modeling the degeneracy of living communicating holons. EPJ Web of Conferences 263 (2022). https://doi.org/10.1051/epjconf/202226301006 [Google Scholar]
  16. L. D. Pasquier, Germline and somatic diversification of immune recognition elements in Metazoa. Immunol Lett 104 (2006). https://doi.org/10.1016/j.imlet.2005.11.022 [Google Scholar]
  17. V. Muller, R. J. de Boer, S. Bonhoeffer, E. Szathmary, An evolutionary perspective on the systems of adaptive immunity. Biol Rev Camb Philos Soc 93 (2018). https://doi.org/10.1111/brv.12355 [Google Scholar]
  18. Y. Zhang et al., Transposon molecular domestication and the evolution of the RAG recombinase. Nature 569 (2019). https://doi.org/10.1038/s41586-019-1093-7 [Google Scholar]
  19. R. E. Nisbett, T. Masuda, Culture and point of view. Proc Natl Acad Sci U S A 100 (2003). https://doi.org/10.1073/pnas.1934527100 [Google Scholar]
  20. M. E. Varnum, I. Grossmann, S. Kitayama, R. E. Nisbett, The Origin of Cultural Differences in Cognition: Evidence for the Social Orientation Hypothesis. Curr Dir Psychol Sci 19 (2010). https://doi.org/10.1177/0963721409359301 [Google Scholar]
  21. P. L. Simeonov, A. C. Ehresmann, Some resonances between Eastern thought and Integral Biomathics in the framework of the WLIMES formalism for modeling living systems. Progress in biophysics and molecular biology 131 (2017). https://doi.org/10.1016/j.pbiomolbio.2017.05.014 [Google Scholar]
  22. M. F. Burnet, A modification of Jerne’s theory of antibody production using the concept of clonal selection. Aust. J. Sci. 20 (1957) [Google Scholar]
  23. N. K. Jerne, “What precedes clonal selection ?” in Ciba Foundation Symposium 5 : Ontogeny of acquired immunity, R. Porter, J. Knight, Eds. (Elsevier, Amsterdam, 1972), 10.1002/9780470719886. https://doi.org/10.1002/9780470719886 [Google Scholar]
  24. N. K. Jerne, Towards a network theory of the immune system. Ann Immunol (Paris) 125C (1974), https://www.ncbi.nlm.nih.gov/pubmed/4142565 [Google Scholar]
  25. N. K. Jerne, Idiotypic networks and other preconceived ideas. Immunol Rev 79 (1984). https://doi.org/10.1111/j.1600-065x.1984.tb00484.x [Google Scholar]
  26. N. K. Jerne, The generative grammar of the immune system. Science 229 (1985) [Google Scholar]
  27. I. Lundkvist, A. Coutinho, F. Varela, D. Holmberg, Evidence for a functional idiotypic network among natural antibodies in normal mice. Proc Natl Acad Sci U S A 86 (1989). https://doi.org/10.1073/pnas.86.13.5074 [Google Scholar]
  28. N. Vaz, The Specificity of Immunologic Observations. Constructivist Foundations 6 (2011) [Google Scholar]
  29. J. Stewart, The primordial VRM system and the evolution of vertebrate immunity (R.G.Landes, Georgetown, Texas, 1994) [Google Scholar]
  30. J. Carneiro, A. Coutinho, J. Faro, J. Stewart, A model of the immune network with B-T cell co-operation. I--Prototypical structures and dynamics. J Theor Biol 182 (1996). https://doi.org/10.1006/jtbi.1996.0192 [Google Scholar]
  31. J. E. Stewart, The direction of evolution: the rise of cooperative organization. Biosystems 123(2014). https://doi.org/10.1016/j.biosystems.2014.05.006 [Google Scholar]
  32. A. Coutinho, The Le Douarin phenomenon: a shift in the paradigm of developmental self-tolerance. Int J Dev Biol 49 (2005). https://doi.org/10.1387/ijdb.041965ac [Google Scholar]
  33. V. Thomas-Vaslin, A. A. Freitas, Lymphocyte population kinetics during the development of the immune system. B cell persistence and life-span can be determined by the host environment. International immunology 1 (1989), https://doi.org/10.1093/intimm/1.3.237 [Google Scholar]
  34. V. Thomas-Vaslin, A. A. Feitas, Population kinetics of peritoneal LPS-reactive B lymphocytes. Int Immunol 2 (1990). https://doi.org/10.1093/intimm/2.1.73 [Google Scholar]
  35. V. Thomas-Vaslin, L. Andrade, A. Freitas, A. Coutinho, Clonal persistence of B lymphocytes in normal mice is determined by variable region-dependent selection. Eur J Immunol 21 (1991) [Google Scholar]
  36. V. Thomas-Vaslin, A. Coutinho, F. Huetz, Origin of CD5+ B cells and natural IgM-secreting cells: reconstitution potential of adult bone marrow, spleen and peritoneal cells. Eur J Immunol 22(1992). https://doi.org/10.1002/eji.1830220520 [Google Scholar]
  37. N. Le Douarin et al., Evidence for a Thymus-Dependent Form of Tolerance that is Not Based on Elimination or Anergy of Reactive T cells. Immunological reviews 149 (1996) [Google Scholar]
  38. V. Thomas-Vaslin, A complex immunological idiotypic network for maintenance of tolerance. Front Immunol 5 (2014). https://doi.org/10.3389/fimmu.2014.00369 [Google Scholar]
  39. F. G. Varela, H. R. Maturana, R. Uribe, Autopoiesis: the organization of living systems, its characterization and a model. Currents in modern biology 5(1974). https://doi.org/10.1016/0303-2647(74)90031-8 [Google Scholar]
  40. F. Capra, The Hidden Connections (HarperCollins, London, 2002) [Google Scholar]
  41. F. E. Yates, Order and complexity in dynamical systems: Homeodynamics as a generalized mechanics for biology. Mathematical and Computer Modelling 19(1994). https://doi.org/10.1016/0895-7177(94)90189-9 [Google Scholar]
  42. H. R. Maturana, What is it to see? Arch Biol Med Exp 16(1983), https://www.ncbi.nlm.nih.gov/pubmed/6680992 [Google Scholar]
  43. W. R. Ashby, An Introduction to Cybernetics (Chapman & Hall, London, 1956) [Google Scholar]
  44. J. Stewart, A. Coutinho, The affirmation of self: a new perspective on the immune system. Artif Life 10(2004). https://doi.org/10.1162/1064546041255593 [Google Scholar]
  45. E. Schrödinger, What is life? (Cambridge University press, 1944) [Google Scholar]
  46. K. Friston, The free-energy principle: a unified brain theory? Nat Rev Neurosci 11(2010). https://doi.org/10.1038/nrn2787 [Google Scholar]
  47. R. Noble, N. D., <23 Noble physiology evolutionary biology.pdf>. Biological Journal of the Linnean Society 139 (2022) [Google Scholar]
  48. P. Lyon, The cognitive cell: bacterial behavior reconsidered. Front Microbiol 6(2015). https://doi.org/10.3389/fmicb.2015.00264 [Google Scholar]
  49. K. J. Friston, W. Wiese, J. A. Hobson, Sentience and the Origins of Consciousness: From Cartesian Duality to Markovian Monism. Entropy (Basel) 22(2020). https://doi.org/10.3390/e22050516 [Google Scholar]
  50. F. Baluska, A. S. Reber, W. B. Miller, Jr., Cellular sentience as the primary source of biological order and evolution. Biosystems 218(2022). https://doi.org/10.1016/j.biosystems.2022.104694 [Google Scholar]
  51. A. S. Reber, F. Baluska, Cognition in some surprising places. Biochem Biophys Res Commun 564(2021). https://doi.org/10.1016/j.bbrc.2020.08.115 [Google Scholar]
  52. F. Baluska, W. B. Miller, P. Slijepcevic, A. S. Reber, Sensing, feeling and sentience in unicellular organisms and living cells. Biosystems 247(2025). https://doi.org/10.1016/j.biosystems.2024.105374 [Google Scholar]
  53. G. M. Edelman, J. A. Gally, Degeneracy and complexity in biological systems. Proc Natl Acad Sci U S A 98 (2001). https://doi.org/10.1073/pnas.231499798 [Google Scholar]
  54. A. Freitas et al., B cell activities in normal unmanipulated mice. Contrib Microbiol Immunol 11 (1989), https://www.ncbi.nlm.nih.gov/pubmed/2684508 [Google Scholar]
  55. A. Coutinho, Germ-line selection ensures embryonic autoreactivity and a positive discrimination of self mediated by supraclonal mechanisms. Semin Immunol 12 (2000). https://doi.org/10.1006/smim.2000.0233 [Google Scholar]
  56. R. Schulz, B. Werner, U. Behn, Self-tolerance in a minimal model of the idiotypic network. Front Immunol 5 (2014). https://doi.org/10.3389/fimmu.2014.00086 [Google Scholar]
  57. S. Tonegawa, Somatic generation of antibody diversity. Nature 302 (1983). https://doi.org/10.1038/302575a0 [Google Scholar]
  58. A. Casrouge et al., Size estimate of the alpha beta TCR repertoire of naive mouse splenocytes. J Immunol 164 (2000). https://doi.org/10.4049/jimmunol.164.11.5782 [Google Scholar]
  59. T. Mora, A. M. Walczak, Quantifying lymphocyte receptor diversity. 10.1101/046870(2016). https://doi.org/10.1101/046870 [Google Scholar]
  60. D. Mason, A very high level of crossreactivity is an essential feature of the T-cell receptor. Immunol Today 19 (1998). https://doi.org/10.1016/s0167-5699(98)01299-7 [Google Scholar]
  61. H. Lemke, A. Coutinho, H. Lange, Lamarckian inheritance by somatically acquired maternal IgG phenotypes. Trends Immunol 25(2004). https://doi.org/10.1016/j.it.2004.02.007 [Google Scholar]
  62. Q. Leng, Z. Bentwich, Beyond self and nonself: fuzzy recognition of the immune system. Scand J Immunol 56 (2002). https://doi.org/10.1046/j.1365-3083.2002.01105.x [Google Scholar]
  63. S. Kauffman, The Origins of Order: Self Organization and Selection in Evolution (Oxford University Press, N.Y., 1993) [Google Scholar]
  64. I. Prigogine, Life and physics. New perspectives. Cell biophysics 9 (1986). https://doi.org/10.1007/BF02797383 [Google Scholar]
  65. A. C. Ehresmann, J. Gomez-Ramirez, Conciliating neuroscience and phenomenology via category theory. Progress in biophysics and molecular biology 119 (2015). https://doi.org/10.1016/j.pbiomolbio.2015.07.004 [Google Scholar]
  66. R. Rosen, On the dynamical realization of (M,R)-systems. Bull Math Biol 35(1973). https://doi.org/10.1007/BF02558788 [Google Scholar]
  67. L. Andrade et al., Biased VH gene expression in murine CD5 B cells results from age-dependent cellular selection. Eur J Immunol 21 (1991). https://doi.org/10.1002/eji.1830210908 [Google Scholar]
  68. N. Baumgarth, The double life of a B-1 cell: self-reactivity selects for protective effector functions. Nat Rev Immunol 11 (2011). https://doi.org/10.1038/nri2901 [Google Scholar]
  69. E. Montecino-Rodriguez, K. Dorshkind, B-1 B cell development in the fetus and adult. Immunity 36(2012). https://doi.org/10.1016/j.immuni.2011.11.017 [Google Scholar]
  70. A. M. Vale, C. B. Cavazzoni, A. Nobrega, H. W. Schroeder, Jr., The Global Self-Reactivity Profile of the Natural Antibody Repertoire Is Largely Independent of Germline DH Sequence. Front Immunol 7(2016). https://doi.org/10.3389/fimmu.2016.00296 [Google Scholar]
  71. F. L. Smith et al., B-1 plasma cells require non-cognate CD4 T cell help to generate a unique repertoire of natural IgM. J Exp Med 220(2023). https://doi.org/10.1084/jem.20220195 [Google Scholar]
  72. M. S. Mattos, S. Vandendriessche, A. Waisman, P. E. Marques, The immunology of B-1 cells: from development to aging. Immun Ageing 21(2024). https://doi.org/10.1186/s12979-024-00455-y [Google Scholar]
  73. F. Rossi, G. Dietrich, M. D. Kazatchkine, Anti-idiotypes against autoantibodies in normal immunoglobulins : evidence for network regulation of human autoimmune response. Immunol. Rev. 110 (1989),74. [Google Scholar]
  74. A. Coutinho, Will the idiotypic network help to solve natural tolerance? Trends Immunol 24(2003). https://doi.org/10.1016/s1471-4906(02)00035-2 [Google Scholar]
  75. V. Thomas-Vaslin, J. Salaun, M. Coltey, P. Vaigot, R. Fucs, Kinetics and repertoire selection of T cells derived from the early waves of fetal thymus colonization after thymus grafting in allogeneic nude recipients. Scand J Immunol 45 (1997). https://doi.org/10.1046/j.1365-3083.1997.d01-424.x [Google Scholar]
  76. Y. Modigliani et al., Regulatory T cells in thymic epithelium-induced tolerance. I. Suppression of mature peripheral non-tolerant T cells. Eur J Immunol 25(1995). https://doi.org/10.1002/eji.1830250924 [Google Scholar]
  77. Y. Modigliani et al., Lymphocytes selected in allogeneic thymic epithelium mediate dominant tolerance toward tissue grafts of the thymic epithelium haplotype. Proc Natl Acad Sci U S A 92(1995). https://doi.org/10.1073/pnas.92.16.7555 [Google Scholar]
  78. Y. Modigliani et al., Establishment of tissue-specific tolerance is driven by regulatory T cells selected by thymic epithelium. European Journal of Immunology 26 (1996) [Google Scholar]
  79. V. Thomas-Vaslin et al., Abnormal T cell selection on nod thymic epithelium is sufficient to induce autoimmune manifestations in C57BL/6 athymic nude mice. Proc Natl Acad Sci U S A 94 (1997) [Google Scholar]
  80. J. Stewart, J. Carneiro, “The Central and the Peripheral Immune Systems: What is the Relationship” in Artificial Immune Systems and Their Applications, D. Dasgupta, Ed. (Springer Berlin Heidelberg, Berlin, Heidelberg, 1999), chap. Chapter3. https://doi.org/10.1007/978-3-642-59901-9_3 [Google Scholar]
  81. V. Thomas-Vaslin, M. Coltey, J. Salaun, On the mechanisms of thymic epithelium induced tolerance. C R Acad Sci III 319 (1996), https://www.ncbi.nlm.nih.gov/pubmed/8763739 [Google Scholar]
  82. V. Thomas-Vaslin et al., Prolonged allograft survival through conditional and specific ablation of alloreactive T cells expressing a suicide gene [see comments]. Transplantation 69 (2000) [Google Scholar]
  83. E. Braunberger et al., T-Cell suicide gene therapy for organ transplantation: induction of long-lasting tolerance to allogeneic heart without generalized immunosuppression. Mol Ther 2 (2000) [Google Scholar]
  84. S. Giraud et al., Transient depletion of dividing T lymphocytes in mice induces the emergence of regulatory T cells and dominant tolerance to islet allografts. Am J Transplant 8 (2008). https://doi.org/10.1111/j.1600-6143.2008.02195.x [Google Scholar]
  85. G. Weisbuch, R. J. De Boer, A. S. Perelson, Localized memories in idiotypic networks. J Theor Biol 146 (1990). https://doi.org/10.1016/s0022-5193(05)80374-1 [Google Scholar]
  86. H. Bersini, “Revisiting idiotypic immune networks” in Advances in Artificial Life. (Springer, 2003) [Google Scholar]
  87. F. Varela, A. Coutinho, B. Dupire, N. Vaz, “Cognitive networks: immune, neural and otherwise” in In Theoretical Immunology, A. S. Perelson, Ed. (Addison-Wesley Publ. Co., Inc., Redwood City, 1988) [Google Scholar]
  88. G. Parisi, A simple model for the immune network. Proc Natl Acad Sci U S A 87(1990). https://doi.org/10.1073/pnas.87.1.429 [Google Scholar]
  89. M. L. Mair, N. Tchitchek, T. M. Witten, V. Thomas-Vaslin, Network topology and evolution of the gene co-expression of T-cells during immuno-senescence. BioRxiv (2021). https://doi.org/10.1101/2021.09.01.458500 [Google Scholar]
  90. V. Thomas-Vaslin et al., “Immunodepression & Immunosuppression during aging” in Immunosuppression, M. B. Portela, Ed. (InTech open acces publisher, Brazil, 2012), http://www.intechopen.com/books/immunosuppression-role-in-health-and-diseases/immunodepression-immunosuppression-during-aging- [Google Scholar]
  91. V. Thomas-Vaslin, A. Six, J. G. Ganascia, H. Bersini, Dynamical and Mechanistic Reconstructive Approaches of T Lymphocyte Dynamics: Using Visual Modeling Languages to Bridge the Gap between Immunologists, Theoreticians, and Programmers. Front Immunol 4(2013). https://doi.org/10.3389/fimmu.2013.00300 [Google Scholar]
  92. A. S. Perelson, G. Weisbuch, Immunology for physicists. Rev. Mod. Phys. 69 (1997) [Google Scholar]
  93. S. Efroni, D. Harel, I. R. Cohen, Emergent Dynamics of Thymocyte Development and Lineage Determination. PLoS Computational Biology preprint (2005). https://doi.org/10.1371/journal.pcbi.0030013.eor [Google Scholar]
  94. H. Bersini, D. Klatzmann, A. Six, V. Thomas-Vaslin, State-transition diagrams for biologists. PLoS One 7 (2012). https://doi.org/10.1371/journal.pone.0041165 [Google Scholar]
  95. R. E. Ulanowicz, Socio-Ecological Networks: A Lens That Focuses Beyond Physics. Frontiers in Ecology and Evolution 9(2021). https://doi.org/10.3389/fevo.2021.643122 [Google Scholar]
  96. P. Kourilsky, The natural defense system and the normative self model. F1000Res 5(2016). https://doi.org/10.12688/f1000research.8518.1 [Google Scholar]
  97. I. R. Cohen, A. Marron, Evolution is driven by natural autoencoding: reframing species, interaction codes, cooperation and sexual reproduction. Proc Biol Sci 290 (2023). https://doi.org/10.1098/rspb.2022.2409 [Google Scholar]
  98. R. Root-Bernstein, A General Theory of Autoimmune Disease Causation: Integrating Innate and Adaptive Immunity, Altered Antigen Processing, Sex and Genetic Predispositions, and Microbiome Effects. Preprints.org DOI: 10.20944/preprints201906.0028.v1.(2019). [Google Scholar]
  99. E. E. Sercarz, F. Celada, N. A. Mitchison, T. Tada, The Semiotics of Cellular Communication in the Immune System (Springer, 1988), 10.1007/978-3-642-73145-7 https://doi.org/10.1007/978-3-642-73145-7 [Google Scholar]
  100. U. Eco, “On Semiotics and Immunology” in The Semiotics of Cellular Communication in the Immune System, E. E. Sercarz, F. Celada, N. A. Mitchison, T. Tada, Eds. (Springer Berlin Heidelberg, Berlin, Heidelberg, 1988), 10.1007/978-3-642-73145-7_1 chap. Chapter 1. https://doi.org/10.1007/978-3-642-73145-7_1 [Google Scholar]
  101. A. Koestler, Beyond ReductionismProceedings of the Alpbach Symposium 1968-Holons and Holarchy of Arthur Koestler. (Arthur Koestler and J. R. Smythies, 1968), http://www.panarchy.org/koestler/holon.1969.html [Google Scholar]
  102. T. Pradeu, S. Jaeger, E. Vivier, The speed of change: towards a discontinuity theory of immunity? Nat Rev Immunol 13 (2013). https://doi.org/10.1038/nri3521 [Google Scholar]
  103. C. H. McEwan, H. Bersini, D. Klatzmann, V. Thomas-Vaslin, A. Six (2011) Refitting Harel statecharts for systemic mathematical models in computational immunology. in 10th International Conference on Artificial Immune Systems (ICARIS), eds G. N. a. T. Pietro Lió, Stibor (Cambridge), https://link.springer.com/chapter/10.1007/978-3-642-22371-6_4 [Google Scholar]
  104. R. Root-Bernstein, Autoimmunity and the microbiome: T-cell receptor mimicry of “self” and microbial antigens mediates self tolerance in holobionts: The concepts of “holoimmunity” (TcR-mediated tolerance for the holobiont) and “holoautoimmunity” (loss of tolerance for the holobiont) are introduced. Bioessays 38 (2016). https://doi.org/10.1002/bies.201600083 [Google Scholar]
  105. V. Thomas-Vaslin, “Le rôle des traces dans le système immunitaire : des anticorps au corps” in Des traces du corps au corps-trace, L’Homme-trace, Ed. (CNRS éditions, Paris, 2017), vol. 4, http://www.cnrseditions.fr/sociologie-ethnologie-anthropologie/7489-l-homme-trace.html [Google Scholar]
  106. V. Thomas-Vaslin, A. Douillet (2021) Poster “EcoSysTerm” Communication des systèmes vivants : Cartographie de la littérature en lien avec les perturbations environnementales multi-niveaux. (ARTEX Journée Arts et Sciences -Institut des Systèmes Complexes de Paris Ile-de-France, Oct 2021, Paris, France. 2021.). https://hal.science/hal-03527987 [Google Scholar]
  107. J. P. Aubin, A. Bayen, P. Saint-Pierre, Viability theory new directions. S. S. B. Media, Ed. (Springer, ed. 2d edition, 2011) [Google Scholar]
  108. D. Noble, The role of stochasticity in biological communication processes. Progress in biophysics and molecular biology 162(2021). https://doi.org/10.1016/j.pbiomolbio.2020.09.008 [Google Scholar]
  109. C. McEwan, H. Bersini, D. Klatzmann, V. Thomas-Vaslin, A. Six, A computational technique to scale mathematical models towards complex heterogeneous systems (Luniver press, 2011), https://books.google.fr/books?hl=fr&lr=&id=M6swBFhZNCYC&oi=fnd&pg=PA31&ots=ZQCAYUzCw4&sig=9mTs1EdhLqJaO-Ty_LmFhBQskPg#v=onepage&q&f=false [Google Scholar]

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