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I'm making a pretrained model where it uses the sensor's name to calculate some features before passing the recordings into the networks. It would be very useful if the library can support these sensor meta data. Besides pretraining on the same montage as the BCI dataset, this is the only reasonable way to evaluate a pretrained model on downstream BCI tasks without too much hassle.
The text was updated successfully, but these errors were encountered:
I mostly mean information like the name of the sensors. Optionally it might be beneficial to have information about the montage and spatial coordinates. MNE has some good builtin montages, for example.
I'm making a pretrained model where it uses the sensor's name to calculate some features before passing the recordings into the networks. It would be very useful if the library can support these sensor meta data. Besides pretraining on the same montage as the BCI dataset, this is the only reasonable way to evaluate a pretrained model on downstream BCI tasks without too much hassle.
The text was updated successfully, but these errors were encountered: