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An N400 identification method based on the combination of Soft-DTW and transformer
As a time-domain EEG feature reflecting the semantic processing of the human brain, the N400 event-related potentials still lack a mature classification and recognition scheme. To address the problems of low signal-to-noise ratio and difficult feature extraction of N400 data, we propose a Soft-DTW-b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978105/ https://www.ncbi.nlm.nih.gov/pubmed/36874240 http://dx.doi.org/10.3389/fncom.2023.1120566 |
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author | Ma, Yan Tang, Yiou Zeng, Yang Ding, Tao Liu, Yifu |
author_facet | Ma, Yan Tang, Yiou Zeng, Yang Ding, Tao Liu, Yifu |
author_sort | Ma, Yan |
collection | PubMed |
description | As a time-domain EEG feature reflecting the semantic processing of the human brain, the N400 event-related potentials still lack a mature classification and recognition scheme. To address the problems of low signal-to-noise ratio and difficult feature extraction of N400 data, we propose a Soft-DTW-based single-subject short-distance event-related potential averaging method by using the advantages of differentiable and efficient Soft-DTW loss function, and perform partial Soft-DTW averaging based on DTW distance within a single-subject range, and propose a Transformer-based ERP recognition classification model, which captures contextual information by introducing location coding and a self-attentive mechanism, combined with a Softmax classifier to classify N400 data. The experimental results show that the highest recognition accuracy of 0.8992 is achieved on the ERP-CORE N400 public dataset, verifying the effectiveness of the model and the averaging method. |
format | Online Article Text |
id | pubmed-9978105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99781052023-03-03 An N400 identification method based on the combination of Soft-DTW and transformer Ma, Yan Tang, Yiou Zeng, Yang Ding, Tao Liu, Yifu Front Comput Neurosci Neuroscience As a time-domain EEG feature reflecting the semantic processing of the human brain, the N400 event-related potentials still lack a mature classification and recognition scheme. To address the problems of low signal-to-noise ratio and difficult feature extraction of N400 data, we propose a Soft-DTW-based single-subject short-distance event-related potential averaging method by using the advantages of differentiable and efficient Soft-DTW loss function, and perform partial Soft-DTW averaging based on DTW distance within a single-subject range, and propose a Transformer-based ERP recognition classification model, which captures contextual information by introducing location coding and a self-attentive mechanism, combined with a Softmax classifier to classify N400 data. The experimental results show that the highest recognition accuracy of 0.8992 is achieved on the ERP-CORE N400 public dataset, verifying the effectiveness of the model and the averaging method. Frontiers Media S.A. 2023-02-16 /pmc/articles/PMC9978105/ /pubmed/36874240 http://dx.doi.org/10.3389/fncom.2023.1120566 Text en Copyright © 2023 Ma, Tang, Zeng, Ding and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Ma, Yan Tang, Yiou Zeng, Yang Ding, Tao Liu, Yifu An N400 identification method based on the combination of Soft-DTW and transformer |
title | An N400 identification method based on the combination of Soft-DTW and transformer |
title_full | An N400 identification method based on the combination of Soft-DTW and transformer |
title_fullStr | An N400 identification method based on the combination of Soft-DTW and transformer |
title_full_unstemmed | An N400 identification method based on the combination of Soft-DTW and transformer |
title_short | An N400 identification method based on the combination of Soft-DTW and transformer |
title_sort | n400 identification method based on the combination of soft-dtw and transformer |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978105/ https://www.ncbi.nlm.nih.gov/pubmed/36874240 http://dx.doi.org/10.3389/fncom.2023.1120566 |
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