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Cited by 195

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Optimizing the P300-based brain–computer interface: current status, limitations and future directions

Open access
Mak, J N, Arbel, Y, Minett, J W, McCane, L M, Yuksel, B, Ryan, D, Thompson, D, Bianchi, L, Erdogmus, D·2011·Journal of Neural Engineering

Abstract

This paper summarizes the presentations and discussions at a workshop held during the Fourth International BCI Meeting charged with reviewing and evaluating the current state, limitations and future development of P300-based brain-computer interface (P300-BCI) systems. We reviewed such issues as potential users, recording methods, stimulus presentation paradigms, feature extraction and classification algorithms, and applications. A summary of the discussions and the panel's recommendations for each of these aspects are presented.

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Crossref · 10.1088/1741-2560/8/2/025003

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Metadata

Authors
Mak, J. N., Arbel, Y., Minett, J. W., McCane, L. M., Yuksel, B., Ryan, D., Thompson, D., Bianchi, L., & Erdogmus, D.
Venue
Journal of Neural Engineering
Published
2011-03-24
Volume
8
Issue
2
Pages
025003
ISSN
  • 1741-2552 (ISSN-L)
  • 1741-2560
OpenAlex
W1988655265
Cited by
195
References
8
FWCI
10.85
Type
journal article
Language
en
Open access
bronze

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The paper
Mak, J. N., Arbel, Y., Minett, J. W., McCane, L. M., Yuksel, B., Ryan, D., Thompson, D., Bianchi, L., & Erdogmus, D. (2011). Optimizing the P300-based brain–computer interface: current status, limitations and future directions. Journal of Neural Engineering. https://doi.org/10.1088/1741-2560/8/2/025003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.