Memory and selectivity in evolving scale-free immune networks

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

Memory and selectivity in evolving scale-free immune networks

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

Istituto Scienze Neurologiche

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	93-101
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2787
Publication status	Published - 2003

ASJC Scopus subject areas

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

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Memory and selectivity in evolving scale-free immune networks. / Tieri, P.; Valensin, S.; Franceschi, C.; Morandi, C.; Castellani, G. C.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2787, 2003, p. 93-101.

Research output: Contribution to journal › Article › peer-review

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