Marieke Thurlings - Publications
Affiliations: | Computer Science | Utrecht University, Utrecht, Netherlands |
Area:
Brain-machine interfacesYear | Citation | Score | |||
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2014 | Thurlings ME, Brouwer AM, Van Erp JB, Werkhoven P. Gaze-independent ERP-BCIs: augmenting performance through location-congruent bimodal stimuli. Frontiers in Systems Neuroscience. 8: 143. PMID 25249947 DOI: 10.3389/Fnsys.2014.00143 | 0.619 | |||
2013 | Thurlings ME, Van Erp JBF, Brouwer AM, Werkhoven P. Controlling a tactile ERP-BCI in a dual task Ieee Transactions On Computational Intelligence and Ai in Games. 5: 129-140. DOI: 10.1109/Tciaig.2013.2239294 | 0.581 | |||
2012 | Schreuder M, Thurlings ME, Brouwer AM, Van Erp JB, Tangermann M. Exploring the use of tactile feedback in an ERP-based auditory BCI. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2012: 6707-10. PMID 23367468 DOI: 10.1109/EMBC.2012.6347533 | 0.375 | |||
2012 | Thurlings ME, Brouwer AM, Van Erp JB, Blankertz B, Werkhoven PJ. Does bimodal stimulus presentation increase ERP components usable in BCIs? Journal of Neural Engineering. 9: 045005. PMID 22831989 DOI: 10.1088/1741-2560/9/4/045005 | 0.612 | |||
2012 | Thurlings ME, van Erp JB, Brouwer AM, Blankertz B, Werkhoven P. Control-display mapping in brain-computer interfaces. Ergonomics. 55: 564-80. PMID 22506977 DOI: 10.1080/00140139.2012.661085 | 0.638 | |||
2011 | Van Erp JBF, Thurlings ME, Brouwer AM, Werkhoven PJ. BCIs in multimodal interaction and multitask environments: Theoretical issues and initial guidelines Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6766: 610-619. DOI: 10.1007/978-3-642-21663-3_66 | 0.489 | |||
2009 | Van Erp JBF, Werkhoven PJ, Thurlings ME, Brouwer AMM. Navigation with a passive brain based interface Icmi-Mlmi'09 - Proceedings of the International Conference On Multimodal Interfaces and the Workshop On Machine Learning For Multimodal Interfaces. 225-226. DOI: 10.1145/1647314.1647357 | 0.552 | |||
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