A simple generative model for single-trial EEG classification

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

Volumn 2415 LNCS, Issue , 2002, Pages 1156-1161

  Kohlmorgen, Jens ^a   Blankertz, Benjamin ^a  

^a FRAUNHOFER FIRST   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; BRAIN COMPUTER INTERFACE; INTERFACES (COMPUTER);

BAYES DECISION RULES; DATA SET; EVENT CLASS; EVENT-RELATED POTENTIALS; GENERATIVE MODEL; SINGLE-TRIAL CLASSIFICATIONS; SINGLE-TRIAL EEG; UNLABELED DATA; HEIDELBERG;

BRAIN COMPUTER INTERFACE; NEURAL NETWORKS;

EID: 84902123709     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_187     Document Type: Conference Paper

References (3)

1. Blankertz, B., Curio, G., Müller, K.R.: Classifying Single trial EEG: Towards brain Computer interfacing. In Dietterich, T.G., Becker, S., Ghahramani, Z., eds.: Advances in Neural Information Processing Systems 14 (NIPS*01), Cambridge, MA, MIT Press (2002) to appear.
2. Lang, W., Zilch, O., Koska, C., Lindinger, G., Deecke, L.: Negative cortical DC shifts preceding and accompanying simple and complex sequential movements. Exp. Brain Res. 74 (1989) 99-104
3. Cui, R.Q., Huter, D., Lang, W., Deecke, L.: Neuroimage of voluntary movement: topography of the Bereitschaftspotential, a 64-channel DC current source density study. Neuroimage 9 (1999) 124-134