CELLULAR NEURAL NETWORK MODELS OF GROWTH AND IMMUNE OF EFFECTOR CELLS RESPONSE TO CANCER
From MaRDI portal
Publication:5484250
DOI10.1142/S0129183106008790zbMath1107.82364OpenAlexW2025527011MaRDI QIDQ5484250
Publication date: 24 August 2006
Published in: International Journal of Modern Physics C (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0129183106008790
Medical applications (general) (92C50) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Cell biology (92C37)
Cites Work
- Critical analysis and perspectives on kinetic (cellular) theory of immune competition
- A mathematical model of the effector cell response to cancer
- Cellular neural networks: theory
- CNN: A Vision of Complexity
- Passivity and complexity
- Some Analytical Criteria for Local Activity of Three-Port CNN with Four State Variables: Analysis and Applications
- Computer simulations of cellular automata
- SOME ANALYTICAL CRITERIA FOR LOCAL ACTIVITY OF TWO-PORT CNN WITH THREE OR FOUR STATE VARIABLES: ANALYSIS AND APPLICATIONS
- Edge of Chaos and Local Activity Domain of FitzHugh-Nagumo Equation
- Edge of Chaos and Local Activity Domain of the Brusselator CNN
- Edge of Chaos and Local Activity Domain of the Gierer–Meinhardt CNN
- ANALYTICAL CRITERIA FOR LOCAL ACTIVITY OF REACTION–DIFFUSION CNN WITH FOUR STATE VARIABLES AND APPLICATIONS TO THE HODGKIN–HUXLEY EQUATION
This page was built for publication: CELLULAR NEURAL NETWORK MODELS OF GROWTH AND IMMUNE OF EFFECTOR CELLS RESPONSE TO CANCER