Abstract: An adaptive calibration method in a brain-computer interface is disclosed. The method is used to reliably associate a neural signal to an object whose attendance by a user elicited that neural signal. A visual stimulus overlaying one or more objects is provided, at least a portion of the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation, the correlation being stronger when attention is concentrated upon the visual stimulus. Weights are applied to the resulting model of neural responses for the user based on the determined correlations. Both neural signal model weighting and displayed object display modulation are adapted so as to improve the certainty of the association of neural signals with the objects that evoked those signals.

Abstract: An adaptive calibration method in a brain-computer interface is disclosed. The method is used to reliably associate a neural signal to an object whose attendance by a user elicited that neural signal. A visual stimulus overlaying one or more objects is provided, at least a portion of the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation, the correlation being stronger when attention is concentrated upon the visual stimulus. Weights are applied to the resulting model of neural responses for the user based on the determined correlations. Both neural signal model weighting and displayed object display modulation are adapted so as to improve the certainty of the association of neural signals with the objects that evoked those signals.

Abstract: An adaptive calibration method in a brain-computer interface is disclosed. The method is used to reliably associate a neural signal to an object whose attendance by a user elicited that neural signal. A visual stimulus overlaying one or more objects is provided, at least a portion of the visual stimulus having a characteristic modulation. The brain computer interface measures neural response to objects viewed by a user. The neural response to the visual stimulus is correlated to the modulation, the correlation being stronger when attention is concentrated upon the visual stimulus. Weights are applied to the resulting model of neural responses for the user based on the determined correlations. Both neural signal model weighting and displayed object display modulation are adapted so as to improve the certainty of the association of neural signals with the objects that evoked those signals.