A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance.
By Eric W. Sellers, Dean J. Krusienski, Dennis J. McFarland, Theresa M. Vaughan, Jonathan R. Wolpaw. Biological Psychology, 2006
548 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/a103f85e44c715667f92d5bad55e06732d7c874e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Jonathan R. Wolpaw
- Benjamin Blankertz
- Brendan Z. Allison
- Eric W. Sellers
- Niels Birbaumer
- Andrea Kübler
- Xiaorong Gao
- Shangkai Gao
Citations in the corpus
- A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns (2010, methodology): “, 2006), stimulus properties such as inter-stimulus interval (ISI) and matrix size (Sellers et al., 2006), and various signal processing methods (Kaper et al.”
- A P300-based brain-computer interface for people with amyotrophic lateral sclerosis. (2008, methodology): “…estimates derived from information contained in the respective papers. reported bit rate without regard for accuracy (Kaper et al., 2004; Meinicke et al., 2002) and to disregard accuracy is inappropriate because accuracy of at least 70% is needed for effective communication (Sellers et al., 2006a).”
- Visual and Auditory Brain–Computer Interfaces (2014, background): “presentation [65].”
- (C)overt attention and visual speller design in an ERP-based brain-computer interface (2010, background): “In BCIs with longer SOAs, P3 components tend to be much more pronounced both in terms of amplitude and temporal extent [10,39].”
- A Brain–Computer Interface Controlled Auditory Event‐Related Potential (P300) Spelling System for Locked‐In Patients (2009, unknown): “12 , 32, 33).”
- Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, background): “Dependent BMIs, as the name suggests, critically depend on the presence of an external stimulus and the triggered neural responses to this stimulus (246, 473, 717, 832).”
- P300 brain computer interface: current challenges and emerging trends (2012, methodology): “Other work explored different matrix sizes (Allison and Pineda, 2003; Sellers et al., 2006) and investigated replacing the elements of the matrix with icons or other choices instead of single letters and numbers (Bayliss and Ballard, 2000; Serby et al., 2005; Allison and Pineda, 2006; Bell et al.,…”
- An auditory oddball (P300) spelling system for brain-computer interfaces. (2009, background): “It has been demonstrated by Sellers and colleagues that matrix size manipulation does not compromise classification accuracy ( Sellers, Krusienski, McFarland, Vaughan, & Wolpaw, 2006 ).”