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Dear all,
I'm a faculty member and group leader at Maastricht University (The Netherlands) and Free University Berlin (Germany), with a long-standing interest in predictive processing. I’ve been considering the idea of gathering a spinoff community dataset across multiple labs that record human data (e.g., EEG or MEG) using the same paradigm as the primary dataset. While this would be outside the scope of the plan outlined in the consensus review, it could facilitate cross-species comparisons, particularly with electrophysiological data from rodents and NHPs, which may be of interest to analysis teams.
I’d be happy to take the lead on initiating and coordinating this effort within the human neuroscience community. Please let me know your thoughts. I would also be glad to raise this idea in one of the upcoming meetings.
Best wishes,
Ryszard Auksztulewicz www.pred-lab.com
I think human complementary data with the same tasks would be indeed very valuable. Especially for all of the visual oddballs. The sensory-motor oddball could be more challenging to port. There are a number of questions with distributed computation that could port. We are not currently planning to do in EEG in mice but I am guessing if you do this that would be valuable too :-)
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Introduce yourself and explain how you would like to contribute.
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