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The Brain as Target Image Detector: The Role of Image Category and Presentation Time

  • Anne-Marie Brouwer
  • Jan B. F. van Erp
  • Bart Kappé
  • Anne E. Urai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6780)

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.

Keywords

Event Related Potential Target Type Equal Error Rate Brain Computer Interface Human Target 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Anne-Marie Brouwer
    • 1
  • Jan B. F. van Erp
    • 1
  • Bart Kappé
    • 1
  • Anne E. Urai
    • 1
    • 2
  1. 1.TNO Human FactorsSoesterbergThe Netherlands
  2. 2.University College UtrechtUtrechtThe Netherlands

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