Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition
Abstract 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 reco...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-06-01
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Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-023-02286-w |