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Informing motor imagery-based brain-computer interface via neuronal avalanches
- Source :
- IEEE International Symposium on Biomedical Imaging (ISBI) 2023, IEEE International Symposium on Biomedical Imaging (ISBI) 2023, Apr 2023, Cartagena, Colombia.
- Publication Year :
- 2023
- Publisher :
- HAL CCSD, 2023.
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Abstract
- International audience; Brain-Computer Interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive BCI systems remains a learned skill difficult to develop for a non-negligible proportion of users. Even though similarities have been shown between MI-based BCI learning and motor sequence learning our understanding of the dynamical processes, and their reflection on brain signals during BCI performance is still incomplete. In particular, whole-brain functional imaging is dominated by a 'bursty' dynamics, "neuronal avalanches", with fast, fat-tailed distributed, aperiodic perturbations spreading across the whole brain. Neuronal avalanches evolve over a manifold during resting-state, generating a rich functional connectivity dynamics. In this work, we evaluated to which extent neuronal avalanches can be used as a tool to differentiate mental states in the context of BCI experiments.
- Subjects :
- [SCCO.NEUR]Cognitive science/Neuroscience
[NLIN]Nonlinear Sciences [physics]
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- IEEE International Symposium on Biomedical Imaging (ISBI) 2023, IEEE International Symposium on Biomedical Imaging (ISBI) 2023, Apr 2023, Cartagena, Colombia.
- Accession number :
- edsair.dedup.wf.001..f690505ee27e797d36a966b035e827a5