Research Article
A Model for Electro-Chemical Neural Communication
@INPROCEEDINGS{10.1007/978-3-030-64991-3_10, author={Maryam Hosseini and Reza Ghazizadeh and Hamed Farhadi}, title={A Model for Electro-Chemical Neural Communication}, proceedings={Body Area Networks. Smart IoT and Big Data for Intelligent Health. 15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020, Proceedings}, proceedings_a={BODYNETS}, year={2020}, month={12}, keywords={Neural communication Axonal noise Cooperative communication synapses Synaptic channel Neuro-spike communication}, doi={10.1007/978-3-030-64991-3_10} }- Maryam Hosseini
Reza Ghazizadeh
Hamed Farhadi
Year: 2020
A Model for Electro-Chemical Neural Communication
BODYNETS
Springer
DOI: 10.1007/978-3-030-64991-3_10
Abstract
The neuro-spike communication is conducted using electro-chemical nervous signal transmissions between neurons and synapses. The nervous signal is composed of a sequence of electrically charged ions exchange in the neurons. It passes to other from one neuron to another one through the process of release and a combination of chemical substances in synapses. The neuro-spike communication is subject to disruptions due to different biological factors that impact the permanence of neural communications. In this paper, we investigate the performance of a neuro-spike communication between two neighboring neurons. We first present a mathematical model to capture the inherent biological characteristics of the nervous system. Next, the error probability of signal detection as a function of biological parameters has been characterized. Finally, we study the impacts of some specific medicines on the parameters of neuro-spike communication in the diseases of Multiple Sclerosis and Alzheimer’s.
