Optimisation of Support Vector Machine Classifier Algorithms for Use as a Brain Computer Interface in Real-Time FMRI Applications

Guy B. Williams¹

Support Vector machines have recently been developed for application to the analysis of fMRI data, and have great potential for use in fMRI based brain computer interfaces. In this work, we explore how different acquisition and processing strategies can increase the reliability of the classifier, while constrained by the fact that results must be reported rapidly and in time-order.