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
Link To Document :
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