Overlap and refractory effects in a brain-computer interface speller based on the visual P300 event-related potential
Publication year
2009Number of pages
9 p.
Source
Journal of Neural Engineering, 6, 2, (2009), article 026003ISSN
Publication type
Article / Letter to editor
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Organization
SW OZ DCC AI
Former Organization
SW OZ NICI KI
Journal title
Journal of Neural Engineering
Volume
vol. 6
Issue
iss. 2
Languages used
English (eng)
Subject
Cognitive artificial intelligence; DI-BCB_DCC_Theme 4: Brain Networks and Neuronal CommunicationAbstract
We reveal the presence of refractory and overlap effects in the event-related potentials in visual P300 speller datasets, and we show their negative impact on the performance of the system. This finding has important implications for how to encode the letters that can be selected for communication. However, we show that such effects are dependent on stimulus parameters: an alternative stimulus type based on apparent motion suffers less from the refractory effects and leads to an improved letter prediction performance.
This item appears in the following Collection(s)
- Academic publications [243399]
- Faculty of Social Sciences [29983]
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