Memory and selectivity in evolving scale-free immune networks

P. Tieri, S. Valensin, C. Franceschi, C. Morandi, G. C. Castellani

Research output: Contribution to journalArticle

Abstract

In this paper we examine the impact of graph theory and more particularly the scale-free topology on Immune Network models. In the case of a simple but not trivial model we analyze network performances as long term selectivity properties, its computational capabilities as memory capacity, and relation with Neural Networks. A more advanced Immune Network model is conceptualized and it is developed a scaffold for further mathematical investigation.

Original languageEnglish
Pages (from-to)93-101
Number of pages9
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2787
Publication statusPublished - 2003

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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