Showing papers by "Gérard Weisbuch published in 1992"
01 Jan 1992
TL;DR: This book is an up-to-date discussion of the current state of modelling and theoretical work in immunology, of the impact of theory on experiment, and of future directions for theoretical research.
Abstract: Immunology is largely a science of observation and experimentation, and these approaches have lead to great increases in our knowledge of the genes, molecules and cells of the immune system. This book is an up-to-date discussion of the current state of modelling and theoretical work in immunology, of the impact of theory on experiment, and of future directions for theoretical research. Among the topics discussed are the function and evolution of the immune system, computer modelling of the humoral immune response and of idiotypic networks and idiotypic mimicry, T-cell memory, cryptic peptides, new views and models of AIDS and autoimmunity, and the shaping of the immune repertoire by early presented antigens and self-immunoglobulin.
70 citations
TL;DR: Study analytically and numerically the genericity of the previous results when the network connection structure is randomized, e.g., with loops and varying connection intensities and discusses possible modifications of he elementary model that preserve localization of the attractors and functionality of the network.
32 citations
TL;DR: A formalism based on window automata is proposed as a method to analyse complex population dynamics, and used to predict which attractor the system reaches after antigenic stimulation, as a function of the parameters.
31 citations
TL;DR: This work simulates a d-dimensional hypercubic lattice with dimension d up to 10 and checks for the concentration of B cells and the stability against localized perturbations (“damage spreading”).
Abstract: For the reactions among the antibodies of the immune system, fighting against a foreign antigen, the recent model of de Boer, Segel and Perelson introduced a cellular automata approximation for the interaction of different types of B cells (bone marrow derived lymphocytes) In contrast to most physics models, here each lattice site interacts mainly with its mirror image (with respect to the lattice center) in the opposite part of the lattice We simplify their model and then generalize it to include more than one or two shape-space parameters Thus instead of simulating a chain or square lattice, we simulate a d -dimensional hypercubic lattice with dimension d up to 10 In particular, we check for the concentration of B cells and the stability against localized perturbations (“damage spreading”)
25 citations
TL;DR: It is demonstrated that formal neural network techniques allow us to build the simplest models compatible with a limited but systematic set of experimental data, and three components out of four can be described by linear multithreshold automata.
Abstract: We demonstrate that formal neural network techniques allow us to build the simplest models compatible with a limited but systematic set of experimental data. The experimental system under study is the growth of mouse macrophage like cell lines under the combined influence of two ion channels, the growth factor receptor and adenylate cyclase. We conclude that three components out of four can be described by linear multithreshold automata. The remaining component behaviour being non-monotonic necessitates the introduction of a fifth hidden variable, or of nonlinear interactions.
12 citations
01 Jan 1992
TL;DR: The experimental knowledge of the immune system allow us to describe it as a cooperative complex system that involves the cooperation of a large number of different molecular and cellular species, lymphokines, immunoglobulins, macrophages, and B and T cells of different specificities.
Abstract: Our experimental knowledge of the immune system allow us to describe it as:
a cooperative complex system: the reaction of the system to any challenge involves the cooperation of a large number of different molecular and cellular species, lymphokines, immunoglobulins, macrophages, and B and T cells of different specificities
a dynamical system: the set of events following recognition of the antigen, aggregation and/or internalization of cell receptors, secretion of soluble molecules, cell differentiation and division, build-up of populations of committed cells, destruction of the antigen, build-up of memories, etc that require finite amounts of time
1 citations