The immunity network with diverse recognitions in TCR

Takayuki Yamaguchi*, Masahiro Fukata, Yasutaka Aramaki, Zheng Tang, Hiroki Tamura, Masahiro Ishii

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Recently, Biol. Sup. Info. Proc. Ability Has Been Researched to Be Able to Be Useful for A Comp. Syst. Especially, Neural Networks about Brain and Nerv. Syst. Have Been Researched. Immun. Netwk. Models Based on Biol. Immune Response Netwk. Also Have Been Researched, but Most of the Researchers Consider only A Basic Part of the Intrac. between B Cells and T Cells. the Recent Res. Has Been Reported A Thing That the Funct. of T Cell Receptor Is Important in Pract. Immune Response Netwk. Therefore, We Propose A New Immun. Netwk. Model Which, Unlike the Traditional Immun. Networks, Has the Same Funct. That A T Cell Receptor Has. We Appl. the Proposed Immun. Netwk. Model and the Traditional Immun. Netwk. Model to the Pattern Recog. Syst. and We Compare Perf. of the Proposed Immun. Netwk. Model with the Traditional Immun. Netwk. Model, Therefore Showed Usability of the Proposed Immun. Netwk. Model. 2008 the Inst. of Elec. Engineers of Japan.

Original languageEnglish
Pages (from-to)15+126-132
JournalIEEJ Transactions on Electronics, Information and Systems
Volume128
Issue number1
DOIs
StatePublished - 2008

Keywords

  • Immune response
  • Immunity network
  • Pattern recognition system
  • T cell receptor

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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