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
Link To Document