Comments (1)
A quick test seems to provide better-than-chance separation between musicians and non musicians using just the first 2 components of the PCA on the Heschl's gyrus.
I will make a notebook to show these results.
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Related Issues (20)
- as a user i want to run scripts in python and or octave or R on my data
- shop for which data viz you like in d3
- prevent github from spamming you
- get a fs file for testing the free surfer import HOT 1
- free surfer import into brainbrowser HOT 2
- as a user i want to be able to click with a mouse to trace a mask on the brain HOT 1
- Nii to freesurfer
- create python pipeline script HOT 1
- run kmeans clustering on the output of the PCA
- write PCA pipeline in python HOT 1
- create slides for demo HOT 1
- Create an sklearn pipeline to glue normalization, PCA, and subsequent learning
- Fix the subject ordering in the dataset HOT 1
- upload script for nii > fs
- Connect scatter plot to data coming out of pipelines api
- Connect bar chart to data coming out of pipelines api
- Verify that the data transformations dont destroy info
- Create a screencast showing how the code is connected to the buttons HOT 1
- Create Virtual Reality interface for Google Cardboard, as per "Shiny Sound" example
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