• DocumentCode
    1064253
  • Title

    Models for molecular computation: conformational automata in the cytoskeleton

  • Author

    Hameroff, Stuart R. ; Dayhoff, Judith E. ; Lahoz-Beltra, Rafael ; Samsonovich, Alexei V. ; Rasmussen, Steen

  • Author_Institution
    Dept. of Anesthesiol., Arizona Univ., Tucson, AZ, USA
  • Volume
    25
  • Issue
    11
  • fYear
    1992
  • Firstpage
    30
  • Lastpage
    39
  • Abstract
    The structure and conformational dynamic changes that occur in cytoskeletal proteins within living cells and evidence for their participation in computational processing are described. The role of cellular automata, in which lattice subunits with discrete states interact only with nearest neighbors, in molecular computing is discussed. Simple rules governing subunit neighbor interactions can lead to complex behaviour capable of computation. It is shown that cellular automata may be implemented in the conformational relationships among neighboring protein subunits of cytoskeletal polymers including microtubules, and microtubule conformational automata networks may signal, adapt, recognize, and subserve neural-level learning.<>
  • Keywords
    cellular automata; cellular biophysics; learning systems; molecular electronics; neural nets; proteins; cellular automata; computational processing; conformational automata; cytoskeleton; discrete states; lattice subunits; living cells; microtubules; molecular; molecular computing; neural-level learning; proteins; subunit neighbor interactions; Cellular networks; Clocks; Computational modeling; Frequency; Iron; Laboratories; Lattices; Learning automata; Polymers; Proteins;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/2.166406
  • Filename
    166406