Evolution of Speci5city in an Immune Network
نویسندگان
چکیده
A dynamic antigen response of the immune network is discussed, based on shape-space modelling. The present model extends the shape-space modelling by introducing the evolution of speci"city of idiotypes. When the amount of external antigen increases, a measure of stability of the immune network is lost and thus the network can respond to the antigen. It is shown that speci"c and non-speci"c responses emerge as a function of antigen amounts. A speci"c response is observed with a "xed-point attractor, and a non-speci"c response is observed with a chaotic attractor for the lymphocyte population dynamics. The network topology also changes between "xed-point and chaotic attractors. For some antigen amounts, chaotic attractors will vanish or become long-lived super-transient states. A dynamic bellshaped response function will thus emerge. The relevance of long-lived chaotic transient states embedded in "xed-point attractors is discussed with respect to immune functions. ( 2000 Academic Press
منابع مشابه
OPTIMAL DESIGN OF WATER DISTRIBUTION SYSTEM USING CENTRAL FORCE OPTIMIZATION AND DIFFERENTIAL EVOLUTION
For any agency dealing with the design of the water distribution network, an economic design will be an objective. In this research, Central Force Optimization (CFO) and Differential Evolution (DE) algorithm were used to optimize Ismail Abad water Distribution network. Optimization of the network has been evaluated by developing an optimization model based on CFO and DE algorithm in MATLAB and ...
متن کاملA Differential Evolution and Spatial Distribution based Local Search for Training Fuzzy Wavelet Neural Network
Abstract Many parameter-tuning algorithms have been proposed for training Fuzzy Wavelet Neural Networks (FWNNs). Absence of appropriate structure, convergence to local optima and low speed in learning algorithms are deficiencies of FWNNs in previous studies. In this paper, a Memetic Algorithm (MA) is introduced to train FWNN for addressing aforementioned learning lacks. Differential Evolution...
متن کاملImage Backlight Compensation Using Recurrent Functional Neural Fuzzy Networks Based on Modified Differential Evolution
In this study, an image backlight compensation method using adaptive luminance modification is proposed for efficiently obtaining clear images.The proposed method combines the fuzzy C-means clustering method, a recurrent functional neural fuzzy network (RFNFN), and a modified differential evolution.The proposed RFNFN is based on the two backlight factors that can accurately detect the compensat...
متن کاملAn Investigation of the Immune Response to Hepatitis B Vaccination in Hemodialysis Patients at Dialysis Centers of Tehran (2016)
Background: Hemodialysis (HD) patients are at an increased risk of acquiring the hepatitis B (HB) virus and having lower protective antibody levels as well as shorter durations of seroprotection. This study aims to determine the immune response of HB vaccination in HD patients referring to dialysis centers of the Tehran North Health Network. Materials and Methods: This descriptive study was co...
متن کاملIdentify factors affecting internal response of educational institutions to society network evolution
Present research seeks to review factors affecting responsiveness of training organizations to society network evolution. Data from 500 directors and deputies of secondary schools in the city of Tehran using stratified random sampling gathered through a questionnaire and analyzed using structural equation modeling. Reliability of this questionnaire was calculated using Cronbach's alpha at 83%. ...
متن کامل