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Cited by 300

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Flashing characters with famous faces improves ERP-based brain–computer interface performance

Kaufmann, T, Schulz, S M, Grünzinger, C, Kübler, A·2011·Journal of Neural Engineering

Abstract

Currently, the event-related potential (ERP)-based spelling device, often referred to as P300-Speller, is the most commonly used brain-computer interface (BCI) for enhancing communication of patients with impaired speech or motor function. Among numerous improvements, a most central feature has received little attention, namely optimizing the stimulus used for eliciting ERPs. Therefore we compared P300-Speller performance with the standard stimulus (flashing characters) against performance with stimuli known for eliciting particularly strong ERPs due to their psychological salience, i.e. flashing familiar faces transparently superimposed on characters. Our results not only indicate remarkably increased ERPs in response to familiar faces but also improved P300-Speller performance due to a significant reduction of stimulus sequences needed for correct character classification. These findings demonstrate a promising new approach for improving the speed and thus fluency of BCI-enhanced communication with the widely used P300-Speller.

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Metadata

Authors
Kaufmann, T., Schulz, S. M., Grünzinger, C., & Kübler, A.
Venue
Journal of Neural Engineering
Published
2011-09-20
Volume
8
Issue
5
Pages
056016
ISSN
  • 1741-2552 (ISSN-L)
  • 1741-2560
OpenAlex
W2074711172
Cited by
300
References
45
FWCI
10.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Flashing characters with famous faces improves ERP-based brain–computer interface performance. https://app.cochat.ai/papers/10.1088/1741-2560/8/5/056016
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Kaufmann, T., Schulz, S. M., Grünzinger, C., & Kübler, A. (2011). Flashing characters with famous faces improves ERP-based brain–computer interface performance. Journal of Neural Engineering. https://doi.org/10.1088/1741-2560/8/5/056016

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