Emergent computation in microtubule model networks

Steen Rasmussen, Hasnain Karampurwala, Rajesh Vaidyanath, Stuart Hameroff

Research output: Contribution to journalConference article

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.

Original languageEnglish (US)
Pages (from-to)1368-1369
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume11 pt 4
StatePublished - Dec 1 1989
EventImages of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 - Seattle, WA, USA
Duration: Nov 9 1989Nov 12 1989

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ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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