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master's thesis
Analiza elektrostimulacije neurona računalnim modelima i simulacijama
2022. urn:nbn:hr:179:394643
Kulić, Darka
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Kulić, D. (2022). Analiza elektrostimulacije neurona računalnim modelima i simulacijama (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:394643

Kulić, Darka. "Analiza elektrostimulacije neurona računalnim modelima i simulacijama." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:394643

Kulić, Darka. "Analiza elektrostimulacije neurona računalnim modelima i simulacijama." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:394643

Kulić, D. (2022). 'Analiza elektrostimulacije neurona računalnim modelima i simulacijama', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 14 November 2024, https://urn.nsk.hr/urn:nbn:hr:179:394643

Kulić D. Analiza elektrostimulacije neurona računalnim modelima i simulacijama [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 14] Available at: https://urn.nsk.hr/urn:nbn:hr:179:394643

D. Kulić, "Analiza elektrostimulacije neurona računalnim modelima i simulacijama", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:394643

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Metadata
TitleAnaliza elektrostimulacije neurona računalnim modelima i simulacijama
Title (english)Analysis of neuron electrostimulation using computational models and simulations
AuthorDarka Kulić
MentorAntonio Šarolić https://orcid.org/0000-0001-7941-1977 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electronics
Abstract
Cilj ovog rada bio je analizirati elektrostimulaciju neurona računalnim modelima i simulacijama. Predstavljena je građa živčane stanice, mehanizam njene aktivacije te matematičke jednadžbe koje opisuju tok iona kroz njenu membranu. Prikazani su različiti modeli membrane neurona, od kojih su za računalne simulacije odabrani modeli HodgkinHuxley (HH), Frankenhaeuser-Huxley (FH), Chiu-Ritchie-Rogart-Stagg-Sweeney (CRRSS), Schwarz-Eikhof (SE) i Schwarz-Reid-Bostock (SRB). Pokazane su razlike izračunatih pragova podražaja između različitih modela, uz iste parametre pobude. U praktičnom dijelu rada istražen je utjecaj vanjskog homogenog vremenski kontinuiranog električnog polja sinusnog valnog oblika u IF području na normalnu fiziološku električnu aktivnost neurona. Rezultati su dobiveni koristeći računalni model SENN (eng. Spatially Extended Nonlinear Node), odnosno njegovom specifičnom implementacijom pod nazivom SENN-UGhent. Programski kod je napisan u MATLAB-u, a simulacije su izvršene na klasteru Neuroscience Gateway (NSG). Potvrđeno je da ispodpražna stimulacija neurona kontinuiranim homogenim električnim poljem u IF području povećava njegovu ekscitabilnost, odnosno, rezultira facilitacijom podražljivosti neurona, što može utjecati na fiziološku električnu aktivnost neurona.
Abstract (english)
The aim of this Master's thesis was to analyze neuron electrostimulation using computational models and simulations. The structure of the nerve cell, mechanism of its activation and mathematical equations which describe the ion flux through the membrane were presented. Emphasis was put on the usage of different membrane models in simulations: Hodgkin-Huxley (HH), Frankenhaeuser-Huxley (FH), Chiu-Ritchie-Rogart-Stagg-Sweeney (CRRSS), SchwarzEikhof (SE) and Schwarz-Reid-Bostock (SRB) model. The differences between the calculated excitation thresholds were demonstrated when using different models with the same stimulation parameters. The experimental part of this thesis analyzed the effect of the external homogeneous continuous sinusoidal electric field in IF range on the normal physiological activity of a neuron. The results were obtained using the SENN (Spatially Extended Nonlinear Node) electrostimulation model, specifically, its implementation called SENN-UGhent. The program code was written in MATLAB and executed on Neuroscience Gateway (NSG) cluster. The analysis confirmed that the subthreshold neuron stimulation by a homogeneous continuous sinusoidal electric field in IF range increases the excitability of a neuron, resulting in facilitation, which can affect the normal physiological activity of a neuron.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:394643
Study programmeTitle: Electronics and Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektronike i računalnog inženjerstva (magistar/magistra inženjer/inženjerka elektronike i računalnog inženjerstva)
Type of resourceText
File originBorn digital
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Created on2023-05-25 11:14:06