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 :
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