Commit e44a2d7f authored by Ying-Qiu Zheng's avatar Ying-Qiu Zheng
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2020MAR30/figs/improv.png

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2020MAR30/figs/improv.png

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2020MAR30/figs/improv.png
2020MAR30/figs/improv.png
2020MAR30/figs/improv.png
2020MAR30/figs/improv.png
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2020MAR30/figs/improv_reg.png

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2020MAR30/figs/improv_reg.png

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2020MAR30/figs/improv_reg.png
2020MAR30/figs/improv_reg.png
2020MAR30/figs/improv_reg.png
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......@@ -7,12 +7,15 @@
* 100 components
![](figs/basis_comparison_boxplot.png)
* 50 components
![](figs/basis_comparison_boxplot50.png)
* automatically find the number of components? Bayesian methods?
* For now the basis only used information from resting state data of the subject and other subjects, maybe try to incorprate information from other subjects' task activation information?
### 2) using residual basis of the self subject and the coefficients of other subjects to make predictions
* Using residual bases to make prediction differentiates self from others more than using original basis
<img src="figs/improv.png" width="49%"> <img src="figs/improv_reg.png" width="49%">
* ...and improves prediction accuracy
![](figs/model_accuracy.png)
* How to further improve the performance?
### 3) Amplitude prediction
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