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Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition
The recognition of inner speech, which could give a ‘voice’ to patients that have no ability to speak or move, is a challenge for brain-computer interfaces (BCIs). A shortcoming of the available datasets is that they do not combine modalities to increase the performance of inner speech recognition....
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264396/ https://www.ncbi.nlm.nih.gov/pubmed/37311807 http://dx.doi.org/10.1038/s41597-023-02286-w |