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A model for electro-chemical neural communication
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0001-9853-2977
2020 (English)In: 15th International Conference on Body Area Networks, BodyNets 2020, Springer Science and Business Media Deutschland GmbH , 2020, p. 137-150Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2020. p. 137-150
Keywords [en]
Axonal noise, Cooperative communication synapses, Neural communication, Neuro-spike communication, Synaptic channel, Computer science, Computers, Engineering, Industrial engineering, Biological characteristic, Biological factors, Biological parameter, Chemical substance, Error probabilities, Multiple sclerosis, Signal transmission, Neurons
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:kth:diva-302928DOI: 10.1007/978-3-030-64991-3_10ISI: 001496768400010Scopus ID: 2-s2.0-85098242417OAI: oai:DiVA.org:kth-302928DiVA, id: diva2:1599819
Conference
21 October 2020 through 21 October 2020
Note

QC 20211001

Available from: 2021-10-01 Created: 2021-10-01 Last updated: 2025-12-05Bibliographically approved

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Farhadi, Hamed

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf