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Curiosity cloning: neural analysis of scientific knowledge
Izzo, Dario; Rossini, Luca; Ruciński, Marek; Ampatzis, Christos; Healy, Graham; Wilkins, Peter; Smeaton, Alan F.; Yazdani, Ashkan; Ebrahimi, Touradj
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.
Keyword(s): Signal processing; Artificial intelligence; Microelectronics; Image processing; P300; curiosity cloning; ERP; image classification; brain computer interfaces
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Izzo, Dario, Rossini, Luca, Ruciński, Marek, Ampatzis, Christos, Healy, Graham ORCID: 0000-0001-6429-6339 <>, Wilkins, Peter, Smeaton, Alan F. ORCID: 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).
Publisher(s): ESA - European Space Agency
File Format(s): application/pdf
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First Indexed: 2009-11-05 02:01:28 Last Updated: 2019-02-09 06:59:17