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Computational Myths and Mysteries That Have Grown Around Microtubule in the Last Half a Century and Their Possible Verification

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Undoubtedly, certain aspects of massively parallel non-central distributive computing have made biological computing far superior than the conventional sequential algorithm based computation. The hardware architecture of a single cell or human brain components has been explored considerably well. However, it is not very well understood how massively parallel computation originates from the individual components of our brain. The failure to establish a logical correlation between an intelligent decision and the hardware components in parametric terms has generated several myths and mysteries related to the biological computation. Since microtubules (MT) abundant in living cells are found to reorganize themselves during cellular functions, a considerable number of attempts have been made to construct computational models based on MT. The correlation between the neuro-physiological studies of our brain and computational models demands a strict protocol to be followed to marginalize the fictional myths and establish factual conclusions based on direct experimental evidences related to MT. In this paper, we point out remarkable predictions and fundamental problems to verify these predictions experimentally.
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Keywords: CELLULAR AUTOMATON; FERROELECTRIC MEMORY; MICROTUBULE; ORCH-OR

Document Type: Short Communication

Publication date: 2011-03-01

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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