ℓ1-penalized linear mixed-effects models for BCI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6791 LNCS, Issue PART 1, 2011, Pages 26-35

  Fazli, Siamac ^a   Danóczy, Márton ^a   Schelldorfer, Jürg ^b   Müller, Klaus Robert ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

INDIVIDUAL VARIABILITY; INPUT SPACE; LASSO METHOD; LINEAR MIXED-EFFECTS MODEL; PHYSIOLOGICAL STRUCTURES; REAL-WORLD PROBLEM; STATISTICAL MODELS;

BRAIN MODELS; INTERFACES (COMPUTER); NEURAL NETWORKS; POPULATION STATISTICS;

BRAIN COMPUTER INTERFACE;

EID: 79959338722     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21735-7_4     Document Type: Conference Paper

References (11)

1. Andrew, G., Gao, J.: Scalable training of L1-regularized log-linear models. In: Proceedings of the 24th international conference on Machine learning (ICML 2007), pp. 33-40. ACM Press, New York (2007)
2. Blankertz, B., Curio, G., Müller, K.R.: Classifying single trial EEG: Towards brain computer interfacing. In: Diettrich, T.G., Becker, S., Ghahramani, Z. (eds.) Advances in Neural Inf. Proc. Systems (NIPS 2001), vol. 14, pp. 157-164 (2002)
3. Blankertz, B., Dornhege, G., Krauledat, M., Müller, K.R., Kunzmann, V., Losch, F., Curio, G.: The Berlin Brain-Computer Interface: EEG-based communication without subject training. IEEE Trans Neural Syst. Rehabil. Eng. 14, 147-152 (2006)
4. Blankertz, B., Tomioka, R., Lemm, S., Kawanabe, M., Müller, K.R.: Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal Proc. Magazine 25(1), 41-56 (2008)
5. Dornhege, G., Millán, J.R., Hinterberger, T., McFarland, D., Müller, K.R. (eds.): Toward Brain-Computer Interfacing. MIT Press, Cambridge, MA (2007)
6. Fazli, S., Grozea, C., Danoczy, M., Blankertz, B., Popescu, F., Muller, K.R.: Subject independent EEG-based BCI decoding. In: Advances in Neural Information Processing Systems 22, pp. 513-521. MIT Press, Cambridge (2009)
7. 1-penalized Linear Mixed-Effects Models for high dimensional data with application to BCI. Neuroimage (2011), (in press)
8. Krauledat, M., Tangermann, M., Blankertz, B., Müller, K.R.: Towards zero training for brain-computer interfacing. PLoS ONE 3, e2967 (2008)
9. Pinheiro, J.C., Bates, D.M.: Mixed-Effects Models in S and S-Plus. Springer, New York (2000)
10. 1-penalization. arXiv preprint 1002.3784 (2010)
11. Tibshirani, R.: Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society B 58, 267-288 (1996)