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SUMMARY:MNE-RSA: Representational Similarity Analysis on EEG and MEG data 
 - Marijn van Vliet\, Aalto University\, Finland
DTSTART:20260309T123000Z
DTEND:20260309T133000Z
UID:TALK245284@talks.cam.ac.uk
CONTACT:Dace Apšvalka
DESCRIPTION:*Speaker:* Marijn van Vliet\, Aalto University\, Finland.\n\n*
 Title:* MNE-RSA: Representational Similarity Analysis on EEG and MEG data\
 n\n*Abstract:* The basics of Representational Similarity Analysis (RSA) ar
 e 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 th
 ey are not salvageable\, you may want to combine data from multiple sensor
  types\, and source orientations may be relevant. We will go over some con
 siderations and pitfalls of applying RSA to EEG and MEG data\, and see how
  the MNE-RSA Python package makes life a bit easier. \n\n*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 maint
 ainers of MNE-Python. Website: https://ncip.fi \n\n*Venue:* MRC CBU West W
 ing Seminar Room and Zoom https://us02web.zoom.us/j/82385113580?pwd=RmxIUm
 phQW9Ud1JBby9nTDQzR0NRdz09 (Meeting ID: 823 8511 3580\; Passcode: 299077)\
 n
LOCATION: MRC-CBU\, 15 Chaucer Road\, Cambridge
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