EEG-based BCI Dataset of Semantic Concepts for Imagination and Perception Tasks.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
15 06 2023
15 06 2023
Historique:
received:
14
02
2023
accepted:
02
06
2023
medline:
19
6
2023
pubmed:
16
6
2023
entrez:
15
6
2023
Statut:
epublish
Résumé
Electroencephalography (EEG) is a widely-used neuroimaging technique in Brain Computer Interfaces (BCIs) due to its non-invasive nature, accessibility and high temporal resolution. A range of input representations has been explored for BCIs. The same semantic meaning can be conveyed in different representations, such as visual (orthographic and pictorial) and auditory (spoken words). These stimuli representations can be either imagined or perceived by the BCI user. In particular, there is a scarcity of existing open source EEG datasets for imagined visual content, and to our knowledge there are no open source EEG datasets for semantics captured through multiple sensory modalities for both perceived and imagined content. Here we present an open source multisensory imagination and perception dataset, with twelve participants, acquired with a 124 EEG channel system. The aim is for the dataset to be open for purposes such as BCI related decoding and for better understanding the neural mechanisms behind perception, imagination and across the sensory modalities when the semantic category is held constant.
Identifiants
pubmed: 37322034
doi: 10.1038/s41597-023-02287-9
pii: 10.1038/s41597-023-02287-9
pmc: PMC10272218
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
386Subventions
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/S515279/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/X001091/1
Organisme : RCUK | Engineering and Physical Sciences Research Council (EPSRC)
ID : EP/T022523/1
Organisme : RCUK | Arts and Humanities Research Council (AHRC)
ID : AH/T004673/1
Organisme : RCUK | Arts and Humanities Research Council (AHRC)
ID : AH/T004673/1
Informations de copyright
© 2023. The Author(s).
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