The quantum basis of spatiotemporality in perception and consciousness

Living systems inhabit the area of the world which is shaped by the predictable space-time of physical objects and forces that can be incorporated into their perception pattern. The process of selecting a “habitable” space-time is the internal quantum measurement in which living systems become embed...

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Bibliographic Details
Published in:Progress in biophysics and molecular biology 2017-11, Vol.130 (Pt A), p.15-25
Main Authors: Igamberdiev, Abir U., Shklovskiy-Kordi, Nikita E.
Format: Article
Language:English
Subjects:
Animals
Biology - methods
Biology - organization & administration
Cytoskeleton
Cytoskeleton - metabolism
Humans
Molecular computation
Neuron
Neurons - cytology
Quantum measurement
Quantum Theory
Spatiotemporality
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Summary:Living systems inhabit the area of the world which is shaped by the predictable space-time of physical objects and forces that can be incorporated into their perception pattern. The process of selecting a “habitable” space-time is the internal quantum measurement in which living systems become embedded into the environment that supports their living state. This means that living organisms choose a coordinate system in which the influence of measurement is minimal. We discuss specific roles of biological macromolecules, in particular of the cytoskeleton, in shaping perception patterns formed in the internal measurement process. Operation of neuron is based on the transmission of signals via cytoskeleton where the digital output is generated that can be decoded through a reflective action of the perceiving agent. It is concluded that the principle of optimality in biology as formulated by Liberman et al. (BioSystems 22, 135–154, 1989) is related to the establishment of spatiotemporal patterns that are maximally predictable and can hold the living state for a prolonged time. This is achieved by the selection of a habitable space approximated to the conditions described by classical physics.
ISSN:0079-6107
1873-1732
DOI:10.1016/j.pbiomolbio.2017.02.008