T cell receptor signalling inspired kernel density estimation and anomaly detection

Nick D. L. Owens, Andy Greensted, Jon Timmis, Andy Tyrrell

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

20 Citations (SciVal)


The T cell is able to perform fine-grained anomaly detection via its T Cell Receptor and intracellular signalling networks. We abstract from models of T Cell signalling to develop a new Artificial Immune System concepts involving the internal components of the TCR. We show that the concepts of receptor signalling have a natural interpretation as Parzen Window Kernel Density Estimation applied to anomaly detection. We then demonstrate how the dynamic nature of the receptors allows anomaly detection when probability distributions vary in time.

Original languageEnglish
Title of host publicationArtificial Immune Systems - 8th International Conference, ICARIS 2009, Proceedings
EditorsPaul S. Andrews, Jon Timmis, Nick D. L. Owens, Andy M. Tyrrell, Uwe Aickelin, Emma Hart, Andrew Hone
PublisherSpringer Nature
Number of pages14
ISBN (Print)3642032451, 9783642032455
Publication statusPublished - 2009
Event8th International Conference on Artificial Immune Systems, ICARIS 2009 - York, United Kingdom of Great Britain and Northern Ireland
Duration: 09 Aug 200912 Aug 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5666 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference8th International Conference on Artificial Immune Systems, ICARIS 2009
Country/TerritoryUnited Kingdom of Great Britain and Northern Ireland
Period09 Aug 200912 Aug 2009


  • negative feedback
  • anomaly detection
  • kerneal density estimation
  • single receptor
  • receptor position

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