Proceedings of ICANN/PASCAL2 Challenge: MEG Mind Reading
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Aalto University publication series SCIENCE + TECHNOLOGY, 29/2011
AbstractThis report summarizes the outcomes of the MEG mind reading challenge organized in conjunction with the International Conference on Artificial Neural Networks (ICANN) 2011, sponsored by the PASCAL2 Challenge Programme. The challenge task was to infer from brain activity, measured with MEG, the type of a video stimulus shown to the subject. Successful solutions would then allow determining, for example, whether a subject is watching football or a comedy film based on short single-trial recording of brain activity. The challenge was organized to study the feasibility of such decoding tasks, to discuss related machine learning methods and solutions, and to promote the awareness of the interesting problem formulation. Furthermore, the challenge produced a publicly available data set that can be used for future benchmarking of decoding methods. The best participants reached high accuracy in the task, demonstrating successful brain decoding. The collection contains an full description of the challenge and its results, as well as technical descriptions of the best three submissions written by the participants.
brain activity, machine learning, MEG, mind reading