Maria V. Ruiz-Blondet

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Can a person be identified uniquely by some feature of their neural activity, as they can be by fingerprints? If so, 1) what would those features be like and 2) are existing computational methods sufficient to extract them? Here, we explore these questions by coordinating psychophysiological and machine learning approaches. We begin with the proposition(More)
BACKGROUND Active amplification electrodes are becoming more popular for ERP data collection, as they amplify the EEG at the scalp and thereby potentially decrease the influence of ambient electrical noise. However, the performance of active electrodes has not been directly compared with that of passive electrodes in the context of collecting ERPs from a(More)
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