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Items: 14


Workshops of the Sixth International Brain-Computer Interface Meeting: brain-computer interfaces past, present, and future.

Huggins JE, Guger C, Ziat M, Zander TO, Taylor D, Tangermann M, Soria-Frisch A, Simeral J, Scherer R, Rupp R, Ruffini G, Robinson DKR, Ramsey NF, Nijholt A, Müller-Putz G, McFarland DJ, Mattia D, Lance BJ, Kindermans PJ, Iturrate I, Herff C, Gupta D, Do AH, Collinger JL, Chavarriaga R, Chase SM, Bleichner MG, Batista A, Anderson CW, Aarnoutse EJ.

Brain Comput Interfaces (Abingdon). 2017;4(1-2):3-36. doi: 10.1080/2326263X.2016.1275488. Epub 2017 Jan 30.


Affective Aspects of Perceived Loss of Control and Potential Implications for Brain-Computer Interfaces.

Grissmann S, Zander TO, Faller J, Brönstrup J, Kelava A, Gramann K, Gerjets P.

Front Hum Neurosci. 2017 Jul 19;11:370. doi: 10.3389/fnhum.2017.00370. eCollection 2017.


Editorial: Trends in Neuroergonomics.

Gramann K, Fairclough SH, Zander TO, Ayaz H.

Front Hum Neurosci. 2017 Apr 5;11:165. doi: 10.3389/fnhum.2017.00165. eCollection 2017. No abstract available.


Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving.

Zander TO, Andreessen LM, Berg A, Bleuel M, Pawlitzki J, Zawallich L, Krol LR, Gramann K.

Front Hum Neurosci. 2017 Feb 28;11:78. doi: 10.3389/fnhum.2017.00078. eCollection 2017.


Neuroadaptive technology enables implicit cursor control based on medial prefrontal cortex activity.

Zander TO, Krol LR, Birbaumer NP, Gramann K.

Proc Natl Acad Sci U S A. 2016 Dec 27;113(52):14898-14903. doi: 10.1073/pnas.1605155114. Epub 2016 Dec 12.


Editorial: Using neurophysiological signals that reflect cognitive or affective state.

van Erp JB, Brouwer AM, Zander TO.

Front Neurosci. 2015 May 29;9:193. doi: 10.3389/fnins.2015.00193. eCollection 2015. No abstract available.


Using neurophysiological signals that reflect cognitive or affective state: six recommendations to avoid common pitfalls.

Brouwer AM, Zander TO, van Erp JB, Korteling JE, Bronkhorst AW.

Front Neurosci. 2015 Apr 30;9:136. doi: 10.3389/fnins.2015.00136. eCollection 2015. Review.


Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach.

Gerjets P, Walter C, Rosenstiel W, Bogdan M, Zander TO.

Front Neurosci. 2014 Dec 9;8:385. doi: 10.3389/fnins.2014.00385. eCollection 2014.


Predicting motor learning performance from Electroencephalographic data.

Meyer T, Peters J, Zander TO, Schölkopf B, Grosse-Wentrup M.

J Neuroeng Rehabil. 2014 Mar 4;11:24. doi: 10.1186/1743-0003-11-24.


Context-aware brain-computer interfaces: exploring the information space of user, technical system and environment.

Zander TO, Jatzev S.

J Neural Eng. 2012 Feb;9(1):016003. doi: 10.1088/1741-2560/9/1/016003. Epub 2011 Dec 7.


A Dry EEG-System for Scientific Research and Brain-Computer Interfaces.

Zander TO, Lehne M, Ihme K, Jatzev S, Correia J, Kothe C, Picht B, Nijboer F.

Front Neurosci. 2011 May 26;5:53. doi: 10.3389/fnins.2011.00053. eCollection 2011.


A public data hub for benchmarking common brain-computer interface algorithms.

Zander TO, Ihme K, Gärtner M, Rötting M.

J Neural Eng. 2011 Apr;8(2):025021. doi: 10.1088/1741-2560/8/2/025021. Epub 2011 Mar 24.


Towards passive brain-computer interfaces: applying brain-computer interface technology to human-machine systems in general.

Zander TO, Kothe C.

J Neural Eng. 2011 Apr;8(2):025005. doi: 10.1088/1741-2560/8/2/025005. Epub 2011 Mar 24. Review.


The hybrid BCI.

Pfurtscheller G, Allison BZ, Brunner C, Bauernfeind G, Solis-Escalante T, Scherer R, Zander TO, Mueller-Putz G, Neuper C, Birbaumer N.

Front Neurosci. 2010 Apr 21;4:30. doi: 10.3389/fnpro.2010.00003. eCollection 2010.

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