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 language | English (US) |
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Pages (from-to) | 1368-1369 |
Number of pages | 2 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 11 pt 4 |
State | Published - 1989 |
Event | Images 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 1989 → Nov 12 1989 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics