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Coarse behavioral context decoding.
Abdulwahab Alasfour
1 ,
Paolo Gabriel ,
Xi Jiang ,
Isaac Shamie ,
Lucia Melloni ,
Thomas Thesen ,
Patricia Dugan ,
Daniel Friedman ,
Werner Doyle ,
Orin Devinsky ,
David Gonda ,
Shifteh Sattar ,
Sonya Wang ,
Eric Halgren ,
Vikash Gilja
February 2019
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Abstract
Current brain-computer interface (BCI) studies demonstrate the potential to decode neural signals obtained from structured and trial-based tasks to drive actuators with high performance within the context of these tasks. Ideally, to maximize utility, such systems will be applied to a wide range of behavioral settings or contexts. Thus, we explore the potential to augment such systems with the ability to decode abstract behavioral contextual states from neural activity.