Event-related potentials (ERPs) are indicators of brain
activity related to cognitive processes. They can be de-
tected from EEG signals and thus constitute an attractive
non-invasive option to study cognitive information pro-
cessing. The P300 wave is probably the most celebrated
example of an event-related potential and it is classically
studied in connection to the odd-ball paradigm experi-
mental protocol, able to consistently provoke the brain
wave. We propose the use of P300 detection to identify
the scientific interest in a large set of images and train
a computer with machine learning algorithms using the
subject’s responses to the stimuli as the training data set. As a first step, we here describe a number of experiments designed to relate the P300 brain wave to the cognitive processes related to placing a scientific judgment on a picture and to study the number of images per seconds
that can be processed by such a system.
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Status = Published
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Subject = Engineering: Signal processing
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Subject = Engineering: Microelectronics
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Subject = Engineering
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Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres
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Dublin City University ->
Publication Type = Conference or Workshop Item
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Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
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Dublin City University ->
Subject = Computer Science: Artificial intelligence
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Dublin City University ->
Subject = Computer Science: Image processing
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Subject = Computer Science
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Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
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Dublin City University ->
DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing
Touradj Ebrahimi,
Ashkan Yazdani,
Alan F. Smeaton,
Peter Wilkins,
Graham Healy,
Christos Ampatzis,
Marek Rucinski,
Luca Rossini,
Dario Izzo