MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding [PDF]
arXivResearch efforts for visual decoding from fMRI signals have attracted considerable attention in research community. Still multi-subject fMRI decoding with one model has been considered intractable due to the drastic variations in fMRI signals between subjects and even within the same subject across different trials.
arxiv
Event‐related fMRI of tasks involving brief motion [PDF]
, 1999 Rasmus M. Birn +3 more
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A component based noise correction method (CompCor) for BOLD and perfusion based fMRI
NeuroImage, 2007 Y. Behzadi +3 more
semanticscholar +1 more source
Encoding and retrieval in human medial temporal lobes: An empirical investigation using functional magnetic resonance imaging (fMRI) [PDF]
, 1999 R. J. Dolan, P. F. Fletcher
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Methods to detect, characterize, and remove motion artifact in resting state fMRI
NeuroImage, 2014 Jonathan D. Power +5 more
semanticscholar +1 more source
Relationship between ventral stream for object vision and dorsal stream for spatial vision: An fMRI+ERP study [PDF]
, 1999 Danny J.J. Wang +10 more
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Bilateral Contributions of the Cerebellum to the Complex Motor Tasks on EPI fMRI [PDF]
, 1999 Eun Chul Chung +4 more
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Iq and Congnitive Profile in Females With the Premutation State of the Gene Fmri (Fragile X Syndrome) 10 [PDF]
, 1997 L Psp Bib +4 more
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Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning [PDF]
2024 IEEE International Symposium on Biomedical ImagingThe reconstruction of human visual inputs from brain activity, particularly through functional Magnetic Resonance Imaging (fMRI), holds promising avenues for unraveling the mechanisms of the human visual system. Despite the significant strides made by deep learning methods in improving the quality and interpretability of visual reconstruction, there ...
arxiv