Abstract
The brain can be very proficient in classifying images that are hard for computer algorithms to deal with. Previous studies show that EEG can contribute to sorting shortly presented images in targets and non-targets. We examine how EEG and classification performance are affected by image presentation time and the kind of target: humans (a familiar category) or kangaroos (unfamiliar). Humans are much easier detected as indicated by behavioral data, EEG and classifier performance. Presentation of humans is reflected in the EEG even if observers were attending to kangaroos. In general, 50ms presentation time decreased markers of detection compared to 100ms. © 2011 Springer-Verlag.
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CITATION STYLE
Brouwer, A. M., Van Erp, J. B. F., Kappé, B., & Urai, A. E. (2011). The brain as target image detector: The role of image category and presentation time. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6780 LNAI, pp. 3–12). https://doi.org/10.1007/978-3-642-21852-1_1
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