206 citations · 522 across the 32 of their papers we have counts for
3 papers · 1 filter
Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data
Xiaoliang Sheng, Muhammad Yousefnezhad, Tonglin Xu +2
Representational Similarity Analysis (RSA) aims to explore similarities between neural activities of different stimuli. Classical RSA techniques employ the inverse of the covarianc…
Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis
Muhammad Yousefnezhad, Daoqiang Zhang
In order to decode the human brain, Multivariate Pattern (MVP) classification generates cognitive models by using functional Magnetic Resonance Imaging (fMRI) datasets. As a standa…
Gradient Hyperalignment for multi-subject fMRI data alignment
Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang
Multi-subject fMRI data analysis is an interesting and challenging problem in human brain decoding studies. The inherent anatomical and functional variability across subjects make…