Sunjung Kim

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PURPOSE OF REVIEW The aim of this review is to provide a critical overview of recent research in the field of neuroscientific and clinical application of real-time functional MRI neurofeedback (rtfMRI-nf). RECENT FINDINGS RtfMRI-nf allows self-regulating activity in circumscribed brain areas and brain systems. Furthermore, the learned regulation of brain(More)
In order to enable communication through a brain-computer interface (BCI), it is necessary to discriminate between distinct brain responses. As a first step, we probed the possibility to discriminate between affirmative ("yes") and negative ("no") responses using a semantic classical conditioning paradigm, within an fMRI setting. Subjects were presented(More)
With the aim of developing a brain-computer interface for the communication of basic mental states, a classical conditioning paradigm with affective stimuli was used, assessing the possibility to discriminate between affirmative and negative thinking in an fMRI-BCI setting. 6 Alzheimer patients and 7 healthy control subjects participated to the study.(More)
In this paper, we suggest a robust incremental image mosaicing and camera calibration method using rotation information of PTZ camera. In calibration step, we calculate multiple homographies between the image at reference position and the images at differently rotated position, and then we calculate camera matrix with those homographies and rotation(More)
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