Adaptive behavior in sub-neural microtubule automata

Stuart Hameroff, Hasnain Karampurwala, Steen Rasmussen

Research output: Contribution to conferencePaperpeer-review


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 languageEnglish (US)
Number of pages6
StatePublished - 1990
Event1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3) - San Diego, CA, USA
Duration: Jun 17 1990Jun 21 1990


Other1990 International Joint Conference on Neural Networks - IJCNN 90 Part 3 (of 3)
CitySan Diego, CA, USA

ASJC Scopus subject areas

  • Engineering(all)


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