A Method to Obtain Parameters of One-Column Jansen–Rit Model Using Genetic Algorithm and Spectral Characteristics
In this paper, a method of obtaining parameters of one-column Jansen–Rit model was proposed. Methods present in literature are focused on obtaining parameters in an on-line manner, producing a set of parameters for every point in time. The method described in this paper can provide one set of parame...
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MDPI AG
2021-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/2/677 |
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| author | Adam Łysiak Szczepan Paszkiel |
| author_facet | Adam Łysiak Szczepan Paszkiel |
| author_sort | Adam Łysiak |
| collection | DOAJ |
| description | In this paper, a method of obtaining parameters of one-column Jansen–Rit model was proposed. Methods present in literature are focused on obtaining parameters in an on-line manner, producing a set of parameters for every point in time. The method described in this paper can provide one set of parameters for a whole, arbitrarily long signal. The procedure consists of obtaining specific frequency features, then minimizing mean square error of those features between the measured signal and the modeled signal, using genetic algorithm. This method produces an 8-element vector, which can be treated as an EEG signal feature vector specific for a person. The parameters which were being obtained are maximum postsynaptic potential amplitude, maximum inhibitory potential amplitude, ratio of the number of connections between particular neuron populations, the shape of a nonlinear function transforming the average membrane potential into the firing rate and the input noise range. The method shows high reproducibility (intraclass correlation coefficient for particular parameters ranging from 0.676 to 0.978) and accuracy (ranging from 0.662 to 0.863). It was additionally verified using EEG signal obtained for a single participant. This signal was measured using Emotiv EPOC+ NeuroHeadset. |
| first_indexed | 2024-03-09T05:05:36Z |
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| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T05:05:36Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj.art-fbbdaa7ca3d7443aa6cf9e669e48bafa2023-12-03T12:55:27ZengMDPI AGApplied Sciences2076-34172021-01-0111267710.3390/app11020677A Method to Obtain Parameters of One-Column Jansen–Rit Model Using Genetic Algorithm and Spectral CharacteristicsAdam Łysiak0Szczepan Paszkiel1Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, PolandFaculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, PolandIn this paper, a method of obtaining parameters of one-column Jansen–Rit model was proposed. Methods present in literature are focused on obtaining parameters in an on-line manner, producing a set of parameters for every point in time. The method described in this paper can provide one set of parameters for a whole, arbitrarily long signal. The procedure consists of obtaining specific frequency features, then minimizing mean square error of those features between the measured signal and the modeled signal, using genetic algorithm. This method produces an 8-element vector, which can be treated as an EEG signal feature vector specific for a person. The parameters which were being obtained are maximum postsynaptic potential amplitude, maximum inhibitory potential amplitude, ratio of the number of connections between particular neuron populations, the shape of a nonlinear function transforming the average membrane potential into the firing rate and the input noise range. The method shows high reproducibility (intraclass correlation coefficient for particular parameters ranging from 0.676 to 0.978) and accuracy (ranging from 0.662 to 0.863). It was additionally verified using EEG signal obtained for a single participant. This signal was measured using Emotiv EPOC+ NeuroHeadset.https://www.mdpi.com/2076-3417/11/2/677EEG modelingJansen modelRit modelJansen–Rit modelneural mass modelone-column model |
| spellingShingle | Adam Łysiak Szczepan Paszkiel A Method to Obtain Parameters of One-Column Jansen–Rit Model Using Genetic Algorithm and Spectral Characteristics Applied Sciences EEG modeling Jansen model Rit model Jansen–Rit model neural mass model one-column model |
| title | A Method to Obtain Parameters of One-Column Jansen–Rit Model Using Genetic Algorithm and Spectral Characteristics |
| title_full | A Method to Obtain Parameters of One-Column Jansen–Rit Model Using Genetic Algorithm and Spectral Characteristics |
| title_fullStr | A Method to Obtain Parameters of One-Column Jansen–Rit Model Using Genetic Algorithm and Spectral Characteristics |
| title_full_unstemmed | A Method to Obtain Parameters of One-Column Jansen–Rit Model Using Genetic Algorithm and Spectral Characteristics |
| title_short | A Method to Obtain Parameters of One-Column Jansen–Rit Model Using Genetic Algorithm and Spectral Characteristics |
| title_sort | method to obtain parameters of one column jansen rit model using genetic algorithm and spectral characteristics |
| topic | EEG modeling Jansen model Rit model Jansen–Rit model neural mass model one-column model |
| url | https://www.mdpi.com/2076-3417/11/2/677 |
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