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University of Cambridge > Talks.cam > CBU Monday Methods Meeting > MNE-RSA: Representational Similarity Analysis on EEG and MEG data
MNE-RSA: Representational Similarity Analysis on EEG and MEG dataAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Dace Apšvalka. Speaker: Marijn van Vliet, Aalto University, Finland. Title: MNE -RSA: Representational Similarity Analysis on EEG and MEG data Abstract: The basics of Representational Similarity Analysis (RSA) are easy to understand, but getting the details right is hard. With EEG and MEG data, you may encounter trials contaminated by noise to the point they are not salvageable, you may want to combine data from multiple sensor types, and source orientations may be relevant. We will go over some considerations and pitfalls of applying RSA to EEG and MEG data, and see how the MNE -RSA Python package makes life a bit easier. Bio: Marijn van Vliet is a Research Fellow at Aalto University in Finland. Apart from his research on information processing in the brain, he works on open source software for the analysis of EEG /MEG data. Notably he is one of the maintainers of MNE -Python. Website: https://ncip.fi Venue: MRC CBU West Wing Seminar Room and Zoom https://us02web.zoom.us/j/82385113580?pwd=RmxIUmphQW9Ud1JBby9nTDQzR0NRdz09 (Meeting ID: 823 8511 3580; Passcode: 299077) This talk is part of the CBU Monday Methods Meeting series. This talk is included in these lists:
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