COMPUTING BY PHYSICAL INTERACTION IN NEURONS
Dorian Aur
Department of Comparative Medicine, Stanford University, Palo Alto, CA 94305, USA
Mandar Jog
Faculty of Medicine and Dentistry, Department of Clinical Neurological Sciences, University of Western Ontario, London Ontario, N6A 5A5, Canada
Roman R. Poznanski
Department of Physical and Mathematical Science, Universiti Tunku Abdul Rahman, Perak, 31900, Malaysia
Received 27 August 2011
Accepted 8 November 2011
Abstract: The electrodynamics of action potentials represents the fundamental level where information is integrated and processed in neurons. The Hodgkin–Huxley model cannot explain the non-stereotyped spatial charge density dynamics that occur during action potential propagation. Revealed in experiments as spike directivity, the non-uniform charge density dynamics within neurons carry meaningful information and suggest that fragments of information regarding our memories are endogenously stored in structural patterns at a molecular level and are revealed only during spiking activity. The main conceptual idea is that under the influence of electric fields, efficient computation by interaction occurs between charge densities embedded within molecular structures and the transient developed flow of electrical charges. This process of computation underlying electrical interactions and molecular mechanisms at the subcellular level is dissimilar from spiking neuron models that a!
re completely devoid of physical interactions. Computation by interaction describes a more powerful continuous model of computation than the one that consists of discrete steps as represented in Turing machines.
Keywords: Physical theory; electric field; intraneuronal computation; spike stereotypy; subcellular signaling; neural code; Turing-machines
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The above paper is downloadable from http://romanpoznanski.blogspot.com
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