Mechanism of a Transient but Long-Lasting Immune Memory Function on a Self/Non-Self Boundary

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

Abstract

Our previous study proposed an immune network model with evolving dynamics for antigen-specificity of a lymphocyte receptor, and obtained the following results: 1) the model revealed threshold dynamics to determine an immunological self/non-self boundary, and furthermore 2) the application of the threshold dynamics enabled an immune memory function. However, as the model equations were high- dimensional and nonlinear, the study could not explicate a mechanism for these immunological phenomena by analyzing the model equations. This study proposes a “minimal and analyzable” model that enables the reproduction of these two immunological phenomena. From analyses of isoclines of the model equations, 1) the threshold dynamics stems from the so-called excitable dynamics that are well-known in the firing dynamics of the neuron, and 2) the immune memory is realized not as a stable dynamical attractor, but as a long-lasting transient. This result indicates the possibility of a new type of immune memory different from the known dynamic attractor immune memory.

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© 2003 Springer-Verlag Berlin Heidelberg

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Harada, K., Shiratori, N. (2003). Mechanism of a Transient but Long-Lasting Immune Memory Function on a Self/Non-Self Boundary. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_71

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  • DOI: https://doi.org/10.1007/978-3-540-45226-3_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

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