A Mathematical Model for the Signal of Death and Emergence of Mind Out of Brain in Izhikevich Neuron Model
DOI:
https://doi.org/10.3889/oamjms.2019.774Keywords:
Izhikevich, Neuron, Bio-Bion, Action PotentialAbstract
AIM: In this paper, using a mathematical model, we will show that for special exchanged photons, the Hamiltonian of a collection of neurons tends to a constant number and all activities is stopped. These photons could be called as the dead photons. To this aim, we use concepts of Bio-BIon in Izhikevich Neuron model.
METHODS: In a neuron, there is a page of Dendrite, a page of axon's terminals and a tube of Schwann cells, axon and Myelin Sheath that connects them. These two pages and tube form a Bio-Bion. In a Bio-Bion, exchanging photons and some charged particles between terminals of dendrite and terminals of axon leads to the oscillation of neurons and transferring information. This Bion produces the Hamiltonian, wave equation and action potential of Izhikevich Neuron model. Also, this Bion determines the type of dependency of parameters of Izhikevich model on temperature and frequency and obtains the exact shape of membrane capacitance, resting membrane potential and instantaneous threshold potential.
RESULTS: Under some conditions, waves of neurons in this BIon join to each other and potential shrinks to a delta function. Consequently, total Hamiltonian of the system tends to a constant number and system of neuron act like a dead system. Finally, this model indicates that all neurons have the ability to produce similar waves and signals like waves of the mind.
CONCLUSION: Generalizing this to biology, we can claim that neurons out of the brain can produce signals of minding and imaging and thus mind isn’t confined to the brain.
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Copyright (c) 2019 Massimo Fioranelli, Alireza Sepehri, Maria Grazia Roccia, Chiara Rossi, Jacopo Lotti, Victoria Barygina, Petar Vojvodic, Aleksandra Vojvodic, Tatjana Vlaskovic-Jovicevic, Jovana Vojvodic, Sanja Dimitrijevic, Zorica Peric-Hajzler, Dusica Matovic, Goran Sijan, Uwe Wollina, Michael Tirant, Van Thuong Nguyen, Torello Lotti (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
http://creativecommons.org/licenses/by-nc/4.0