Print Email Facebook Twitter The brain as target image detector: The role of image category and presentation time Title The brain as target image detector: The role of image category and presentation time Author Brouwer, A.M. van Erp, J.B.F. Kappe, B. Urai, A.E. Publication year 2011 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.In een plaatjesclassificatie BCI (Brain-computer interface) wordne hersensignalen gebruikt om doelen te onderscheiden van niet-doelen bij zeer kort gepresenteerde plaatjes. Presentatietijd en doeltype blijken een rol te spelen. Subject HumanPCS - Perceptual and Cognitive SystemsBSS - Behavioural and Societal SciencesUser interfacesBCIEEGImage classificationP3P300N170 To reference this document use: http://resolver.tudelft.nl/uuid:67da47e9-bcc4-4e1d-a195-ad97e7e1bf29 DOI https://doi.org/10.1007/978-3-642-21852-1_1 TNO identifier 427335 Source 6th International Conference on Foundations of Augmented Cognition, FAC 2011, Held as Part of HCI International 2011, 9 July 2011 through 14 July 2011, Orlando, FL. Conference code: 85548, 6780 LNAI, 3-12 Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.