Stable state analysis of an immune network model

G. C. Castellani, C. Giberti, C. Franceschi, F. Bersani

Research output: Contribution to journalArticle


The paper analyzes a model of immune system developed by different authors (Perelson De Boer, Weisbuch and others). The model describes interactions among B-lymphocytes. It does not consider antibodies as interaction intermediaries, although it uses a typical activation curve. The relevant parameters are: an influx term, a threshold value, a proliferation rate, and a decay parameter. The study of the n-dimensional extension of the model and a bifurcation analysis of the stationary states with respect to the influx parameter show that the influx value for which biologically acceptable solutions exist decreases as n increases. When the influx term is neglected the stationary states are obtained analytically and their stability is discussed Moreover, it is discussed how the stable solutions can be considered as "selective states", that is, with only one high idiotypic concentration, when we suppose a complete connectivity.

Original languageEnglish
Pages (from-to)1285-1301
Number of pages17
JournalInternational Journal of Bifurcation and Chaos
Issue number6
Publication statusPublished - Jun 1998

ASJC Scopus subject areas

  • General
  • Applied Mathematics

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    Castellani, G. C., Giberti, C., Franceschi, C., & Bersani, F. (1998). Stable state analysis of an immune network model. International Journal of Bifurcation and Chaos, 8(6), 1285-1301.