Abstract
Interiors of neurons are occupied and organized by dynamic networks, called cytoskeletons, of protein polymers. These biomolecular networks (microtubules, or MT, actin, intermediate filaments, centrioles, etc.) are coupled to membrane events and regulate cellular activities, including synaptic plasticity. Models of purposeful behavior in the cytoskeleton include MT automata, in which cooperative coupling among MT subunit dipole/conformational states gives rise to computational patterns. The authors model MT automata interconnected by MAPs (microtubular associated proteins). It has been shown that these cytoskeletal networks are capable of adaptive learning, association, and retrograde signaling. It is pointed out that MT automata may provide a subneural dimension in the brain's hierarchical organization and that artificial neural nets may more closely approximate the brain by including subneural processing.
| Original language | English (US) |
|---|---|
| Title of host publication | IJCNN. International Joint Conference on Neural Networks |
| Publisher | Publ by IEEE |
| Pages | 715-720 |
| Number of pages | 6 |
| State | Published - 1990 |
| Event | 1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) - San Diego, CA, USA Duration: Jun 17 1990 → Jun 21 1990 |
Other
| Other | 1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) |
|---|---|
| City | San Diego, CA, USA |
| Period | 6/17/90 → 6/21/90 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Adaptive behavior in sub-neural microtubule automata. / Hameroff, Stuart R; Karampurwala, Hasnain; Rasmussen, Steen.
IJCNN. International Joint Conference on Neural Networks. Publ by IEEE, 1990. p. 715-720.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Adaptive behavior in sub-neural microtubule automata
AU - Hameroff, Stuart R
AU - Karampurwala, Hasnain
AU - Rasmussen, Steen
PY - 1990
Y1 - 1990
N2 - Interiors of neurons are occupied and organized by dynamic networks, called cytoskeletons, of protein polymers. These biomolecular networks (microtubules, or MT, actin, intermediate filaments, centrioles, etc.) are coupled to membrane events and regulate cellular activities, including synaptic plasticity. Models of purposeful behavior in the cytoskeleton include MT automata, in which cooperative coupling among MT subunit dipole/conformational states gives rise to computational patterns. The authors model MT automata interconnected by MAPs (microtubular associated proteins). It has been shown that these cytoskeletal networks are capable of adaptive learning, association, and retrograde signaling. It is pointed out that MT automata may provide a subneural dimension in the brain's hierarchical organization and that artificial neural nets may more closely approximate the brain by including subneural processing.
AB - Interiors of neurons are occupied and organized by dynamic networks, called cytoskeletons, of protein polymers. These biomolecular networks (microtubules, or MT, actin, intermediate filaments, centrioles, etc.) are coupled to membrane events and regulate cellular activities, including synaptic plasticity. Models of purposeful behavior in the cytoskeleton include MT automata, in which cooperative coupling among MT subunit dipole/conformational states gives rise to computational patterns. The authors model MT automata interconnected by MAPs (microtubular associated proteins). It has been shown that these cytoskeletal networks are capable of adaptive learning, association, and retrograde signaling. It is pointed out that MT automata may provide a subneural dimension in the brain's hierarchical organization and that artificial neural nets may more closely approximate the brain by including subneural processing.
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M3 - Conference contribution
AN - SCOPUS:0025557565
SP - 715
EP - 720
BT - IJCNN. International Joint Conference on Neural Networks
PB - Publ by IEEE
ER -