A novel subject-wise dictionary learning approach using multi-subject fMRI spatial and temporal components
Abstract The conventional dictionary learning (DL) algorithms aim to adapt the dictionary/sparse code to individual functional magnetic resonance imaging (fMRI) data. Thus, lacking the capability to consolidate the spatiotemporal diversities offered by other subjects. Considering that subject-wise (...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-11-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-47420-1 |