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An implementation of the IntegroDifference Equation for EEG data
What should the shape of the first spatial mixing kernel be?
size of cortex
size of sensors
size of kernel
The results we want to show are going to influence the work we do, so this needs to be decided ahead of time.
Implement spatially coloured noise
do the temporal discreteisation
Implement a two dimensional integro difference equation
The two-stage estimator is above.
After I have estimated the means and variances of errors.
How to implement the two-stage estimator by machine learning? Shall I separate the target items from training set and testing set?
If I separate them from train and test, then which model shall I use, and do fitting?
So, could you pls give me some suggestions and recommend some python codes?
Implement the spatial averaging process
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