• DocumentCode
    1829101
  • Title

    Emergent computation in microtubule model networks

  • Author

    Rasmussen, Steen ; Karampurwala, Hasnain ; Vaidyanath, Rajesh ; Hameroff, Stuart

  • Author_Institution
    Los Alamos Nat. Lab., NM, USA
  • fYear
    1989
  • fDate
    9-12 Nov 1989
  • Firstpage
    1368
  • Abstract
    The cytoskeleton, a class of protein polymers including microtubules (MTs), intelligently organizes the interiors of living cells. Interconnected microtubules have been modeled as adaptive networks in which emergent computation occurs. The model comprises parallel networks of MTs variably interconnected by filamentous proteins by means of MT-associated protein 2 (MAP2). MAP2 can also mediate input into MT from other MTs, by cyclic AMP and/or calcium from membrane events. Optimized MT-MAP2 networks form computationally efficient connection topologies, with feedback among topology, internal automata dynamics and automata rules in an MT structural model. Thus MT network models exhibit learning and other emergent effects
  • Keywords
    physiological models; proteins; Ca; automata rules; emergent computation; feedback; filamentous proteins; internal automata dynamics; learning; membrane events; microtubule model networks; topology; Adaptive systems; Biomembranes; Calcium; Computational modeling; Computer networks; Feedback; Learning automata; Network topology; Polymers; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/IEMBS.1989.96244
  • Filename
    96244