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92. J.F. Troendle, A permutation step-up method of testing multiple outcomes. Biometrics 952,
846–859 (1996)
93. F. Varela, J.-P. Lachaux, E. Rodriguez et al., The brainweb: phase synchronization and
large-scale integration. Nat. Rev. Neurosci. 2, 229–239 (2001)
94. M. Vinck, R. Oostenveld, M. van Wingerden et al., An improved index of phase synchronization for electrophysiological data in the presence of volume-conduction, noise and
sample-size bias. NeuroImage 55, 1548–1565 (2011)
95. M. Wagner, M. Fuchs, J. Kastner, Evaluation of sLORETA in the presence of noise and
multiple sources. Brain Topogr. 16, 277–280 (2004)
96. W.G. Walter, R. Cooper, V.J. Aldridge et al., Contingent negative variation: an electric sign
of sensorimotor association and expectancy in the human brain. Nature 203, 380–384 (1964)
97. P.H. Westfall, S.S. Young, Resampling-Based Multiple Testing. Examples and Methods for
p-Values Adjustment (Wiley, Hoboken, NJ, 1993)
98. A. Widmann, E. Schröger, B. Maess, Digital filter design for electrophysiological data—a
practical approach. J. Neurosci. Methods 250, 34–46 (2014)
99. M. Woldorff, Adjacent response overlap during the ERP averaging process and a technique
(Adjar) for its estimation and removal. Psychophysiology 25, 490 (1988)
100. M. Woldorff, Distortion of ERP averages due to overlap from temporally adjacent ERPs:
analysis and correction. Psychophysiology 30, 98–119 (1993)
101. J. Wolpaw, E.W. Wolpaw (eds.), Brain-Computer Interfaces: Principles and Practice (Oxford
University Press, New York, 2012), p. 424
102. D. Yekutieli, Hierarchical false discovery rate-controlling methodology. J. Am. Stat. Assoc.
103, 309–316 (2012)
103. F. Yger, M. Berar, F. Lotte, Riemannian approaches in brain-computer interfaces: a review.
IEEE Trans. Neural Syst. Rehabil. Eng. 25, 1753–1762 (2016)
104. K. Yu, K. Shen, S. Shao et al., Bilinear common spatial pattern for single-trial ERP-based
rapid serial visual presentation triage. J. Neural Eng. 9, 046013 (2012)
105. P. Zanini, M. Congedo, C. Jutten et al., Transfer learning: a riemannian geometry framework
with applications to brain-computer interfaces. IEEE Trans. Biomed. Eng. (2017 in press)
M. Congedo
91. J.F. Troendle, A stepwise resampling method of multiple hypothesis testing. J. Am. Stat.
Assoc. 90, 370–378 (1995)
92. J.F. Troendle, A permutation step-up method of testing multiple outcomes. Biometrics 952,
846–859 (1996)
93. F. Varela, J.-P. Lachaux, E. Rodriguez et al., The brainweb: phase synchronization and
large-scale integration. Nat. Rev. Neurosci. 2, 229–239 (2001)
94. M. Vinck, R. Oostenveld, M. van Wingerden et al., An improved index of phase synchronization for electrophysiological data in the presence of volume-conduction, noise and
sample-size bias. NeuroImage 55, 1548–1565 (2011)
95. M. Wagner, M. Fuchs, J. Kastner, Evaluation of sLORETA in the presence of noise and
multiple sources. Brain Topogr. 16, 277–280 (2004)
96. W.G. Walter, R. Cooper, V.J. Aldridge et al., Contingent negative variation: an electric sign
of sensorimotor association and expectancy in the human brain. Nature 203, 380–384 (1964)
97. P.H. Westfall, S.S. Young, Resampling-Based Multiple Testing. Examples and Methods for
p-Values Adjustment (Wiley, Hoboken, NJ, 1993)
98. A. Widmann, E. Schröger, B. Maess, Digital filter design for electrophysiological data—a
practical approach. J. Neurosci. Methods 250, 34–46 (2014)
99. M. Woldorff, Adjacent response overlap during the ERP averaging process and a technique
(Adjar) for its estimation and removal. Psychophysiology 25, 490 (1988)
100. M. Woldorff, Distortion of ERP averages due to overlap from temporally adjacent ERPs:
analysis and correction. Psychophysiology 30, 98–119 (1993)
101. J. Wolpaw, E.W. Wolpaw (eds.), Brain-Computer Interfaces: Principles and Practice (Oxford
University Press, New York, 2012), p. 424
102. D. Yekutieli, Hierarchical false discovery rate-controlling methodology. J. Am. Stat. Assoc.
103, 309–316 (2012)
103. F. Yger, M. Berar, F. Lotte, Riemannian approaches in brain-computer interfaces: a review.
IEEE Trans. Neural Syst. Rehabil. Eng. 25, 1753–1762 (2016)
104. K. Yu, K. Shen, S. Shao et al., Bilinear common spatial pattern for single-trial ERP-based
rapid serial visual presentation triage. J. Neural Eng. 9, 046013 (2012)
105. P. Zanini, M. Congedo, C. Jutten et al., Transfer learning: a riemannian geometry framework
with applications to brain-computer interfaces. IEEE Trans. Biomed. Eng. (2017 in press)