Spatiotemporal Feature Selection Improves Prediction Accuracy of Multi-Voxel Pattern Classification
Jeiran Choupan, Yaniv Gal, Pamela K. Douglas, Mark S. Cohen, David C. Reutens, Zhengyi Yang
This study shows that spatiotemporal feature selection improves multi-voxel pattern classification accuracy in fMRI data compared to single time-point spatial approaches.
bioRxiv · Aug 28, 2019 · PreprintNeuroscience