• DocumentCode
    768305
  • Title

    From neurocomputation to immunocomputation - a model and algorithm for fluctuation-induced instability and phase transition in biological systems

  • Author

    Roy, Prasun K. ; Kozma, Robert ; Majumder, D. Dutta

  • Author_Institution
    R. Marsden Hosp., Sutton, UK
  • Volume
    6
  • Issue
    3
  • fYear
    2002
  • fDate
    6/1/2002 12:00:00 AM
  • Firstpage
    292
  • Lastpage
    305
  • Abstract
    Explores bioinformatics-based modeling of immunological instabilities. We develop an algorithm for analyzing stability-instability properties of complex systems and use the developed technique to induce transitions in physical, biological and engineering systems. As a case study, we analyze the phenomena of tumor destabilization or spontaneous biological regression of a malignant focus-lymphocyte interactive system. Using stochastic noise analysis, we model high-dimensional collective oscillations of nonlinear elements and study nonautonomous systems with oscillation-induced phase transitions between lowand high-dimensional states. The associated nonlinear immunodynamical phenomenon of nonequilibrial destabilization of a malignant tumor is analyzed in terms of the Prigogine-Glansdorff (1971) stability theorem of dynamical systems theory
  • Keywords
    biocybernetics; fluctuations; large-scale systems; neural nets; oscillations; phase transformations; stability; stochastic processes; tumours; Prigogine-Glansdorff stability theorem; bioinformatics-based modeling; biological systems; cancer treatment; case study; complex systems; dynamical systems theory; engineering systems; fluctuation-induced instability; high-dimensional collective oscillations; high-dimensional state; immune system; immunocomputation; immunological instabilities; low-dimensional state; malignant focus-lymphocyte interactive system; malignant tumor; neurocomputation; nonautonomous systems; nonequilibrial destabilization; nonequilibrium dynamics; nonlinear elements; nonlinear immunodynamical phenomenon; oscillation-induced phase transitions; physical systems; spontaneous biological regression; stability-instability properties; stochastic noise analysis; tumor destabilization; Algorithm design and analysis; Bioinformatics; Biological system modeling; Cancer; Immune system; Interactive systems; Neoplasms; Stability analysis; Stochastic systems; Systems engineering and theory;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/TEVC.2002.1011542
  • Filename
    1011542