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Curiosity cloning: neural analysis of scientific knowledge

Izzo, Dario, Rossini, Luca, Ruciński, Marek, Ampatzis, Christos, Healy, Graham orcid logoORCID: 0000-0001-6429-6339, Wilkins, Peter, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, Yazdani, Ashkan and Ebrahimi, Touradj (2009) Curiosity cloning: neural analysis of scientific knowledge. In: IJCAI-09 - International Joint Conference on Artificial Intelligence 2009, Workshop on Artificial Intelligence in Space, 17-18 July 2009, Padadena, California, CA, USA. (ESA SP-673).

Abstract
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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Additional Information:Contact alan.smeaton@dcu.ie
Uncontrolled Keywords:P300; curiosity cloning; ERP; image classification; brain computer interfaces;
Subjects:Engineering > Signal processing
Computer Science > Artificial intelligence
Engineering > Microelectronics
Computer Science > Image processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:ESA - European Space Agency
Official URL:http://ijcai-09.org/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Space Agency Ariadna scheme, Science Foundation Ireland
ID Code:4549
Deposited On:04 Sep 2009 13:02 by Alan Smeaton . Last Modified 11 Oct 2018 08:34
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