抄録
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.
本文言語 | English |
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ページ(範囲) | 519-525 |
ページ数 | 7 |
ジャーナル | Unknown Journal |
巻 | 2774 PART 2 |
出版ステータス | Published - 2003 |
ASJC Scopus subject areas
- ハードウェアとアーキテクチャ