Research Overview
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Focal cortical dysplasia and epilepsy
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Brain Computer Interfaces (BCIs)
My work in the BCI lab focused on the discovery that participant specific instructions helped increase performance in a mu rhythm-based sensorimotor paradigm. Briefly, a neurofeedback loop exists between the user, the EEG electrodes, the realtime feedback the participant sees on the screen, and the amplifier and data acquisition system. Extensive time and effort has been put in by numerous research groups to optimize algorithms for data extraction and classification, however we show that performance with a BCI can also be increased by tailoring the instructions to the individual user. With specific, goal oriented instructions, participants were able to successfully control a BCI through imagining hand-movements, and furthermore all participants were able to control the device to some degree during a single session. Additionally, we developed a simple, goal oriented game that tested participant's ability to control the device without being prompted, in order to obtain the highest score possible.
Eye tracking
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