Commit 39548476 authored by Amit Goldenberg's avatar Amit Goldenberg

readme update. Not a lot of change

parent 66e81683
This is Amit's first attempt to analyze an eeg file
cyThis is Amit's first attempt to analyze an eeg file
GENERAL INFORMATION
......@@ -12,7 +12,9 @@ The analysis creates a few folders:
the ica is the same raw files with the ICA solution (just a matrix) connceted to them . There is one potential difference which is if we drops files because they were too noisy,these parts would be missing.
b. Epoch: this is the final folders. There are epoched (cut out segments)
**excel sheet** - has a list of missing channel and counts of events remaining after the cut.\
**excel sheet** - has a list of missing channel and counts of events remaining after the cut.
we
Andero is using these numbers for two things: a. to check if some participants are under utilized in the analysis (becaue we are using less than 50% of their data) and then to remove them.
b. conducting an anova to comparing different significants in conditions.
......@@ -37,3 +39,6 @@ people are calling that **dipolar** if the distribution are very symetrical than
To sum, we have two critiria: a. how wide the activation is. b. how symetrical it is (dipolar). If we have these conditions its easier for us to detect brain based activation.
***important*** if we see really weird activation we should not reject them just to make sure that we are only rejecting stuff based on eye movement. We will do the cleaning later.
Build analysis structure:
creates a component p that compiles all the data. Up to that point the data is kept in seperate for each subject
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