Goel, Mohit KumarChavarriaga, RicardoMillán, José del R.2014-07-042014-07-042014-07-04201410.3217/978-3-85125-378-8-68https://infoscience.epfl.ch/handle/20.500.14299/104899Several studies have proposed the use of inverse solutions based features to improve the decoding performance of brain-computer interfaces. Most of these studies have compared the performance of inverse solutions features over scalp activity in a small set of electrodes. However, the estimated sources are indeed a linear combination of scalp-wide activity. Therefore, this comparison may be biased against surface EEG. Performance comparison in three ERP-based protocols show that classifiers combining larger sets of EEG electrodes may perform comparably, and previous reports may have overestimated the advantages of using inverse solution based features.text::conference output::conference paper not in proceedings