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Yey! I found a lot of interesting publically available datasets more or less related to auditory cognition and emotions!

Now its time to come to the real world and see what is durable to do in 2 weeks trying to avoid frustration and sleep deprivation.

I am having trouble to see if it is better to try to combine different datasets or just focus on one. If it is feasible to combine different datasets, how I can combine EEG+MRI / MRI+MRI? What metrics/info can be extracted that can be common between them (not all of them)?

Any input/help/ideas reference will be welcome :)

Background -> I want to start working with this problem as my Ph.D. involve multiple task run in different modalities (EEG, MRI, behavioural), some of the tasks are done in all of them, but some others are modality-specific. I want to do more than correlations between them.

@pbellec @PeerHerholz

Hi Marcel,

I was wondering - are you planning on combining multiple datasets or just using one multimodal dataset?

Lots of good data options!
I might use the one of them.

I noticed you're thinking about Colab? Can anyone access their GPU resources? Do you think it's an easier way to use cloud computing, say, if you want something a little faster than a laptop but don't want to go through the trouble of setting up Compute Canada integration?