Emergent computation in microtubule model networks

Steen Rasmussen; Hasnain Karampurwala; Rajesh Vaidyanath; Stuart Hameroff

Emergent computation in microtubule model networks

Steen Rasmussen, Hasnain Karampurwala, Rajesh Vaidyanath, Stuart Hameroff

Anesthesiology

Research output: Contribution to journal › Conference article › peer-review

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)
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

Cite this

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title = "Emergent computation in microtubule model networks",

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.",

author = "Steen Rasmussen and Hasnain Karampurwala and Rajesh Vaidyanath and Stuart Hameroff",

year = "1989",

language = "English (US)",

volume = "11 pt 4",

pages = "1368--1369",

journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

issn = "0589-1019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Images of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 ; Conference date: 09-11-1989 Through 12-11-1989",

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T1 - Emergent computation in microtubule model networks

AU - Rasmussen, Steen

AU - Karampurwala, Hasnain

AU - Vaidyanath, Rajesh

AU - Hameroff, Stuart

PY - 1989

Y1 - 1989

N2 - 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.

AB - 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.

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M3 - Conference article

AN - SCOPUS:0024926332

SN - 0589-1019

VL - 11 pt 4

SP - 1368

EP - 1369

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Images of the Twenty-First Century - Proceedings of the 11th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2

Y2 - 9 November 1989 through 12 November 1989

ER -

Emergent computation in microtubule model networks

Abstract

ASJC Scopus subject areas

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