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...

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Bibliographic Details
Main Authors: Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Scott Wellington, Holly Wilson, Marcus Liwicki, Johan Eriksson
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02286-w