AI RESEARCH
Modeling Spatiotemporal Neural Frames for High Resolution Brain Dynamic
arXiv CS.CV
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ArXi:2603.24176v1 Announce Type: cross Capturing dynamic spatiotemporal neural activity is essential for understanding large-scale brain mechanisms. Functional magnetic resonance imaging (fMRI) provides high-resolution cortical representations that form a strong basis for characterizing fine-grained brain activity patterns. The high acquisition cost of fMRI limits large-scale applications, therefore making high-quality fMRI reconstruction a crucial task. Electroencephalography (EEG) offers millisecond-level temporal cues that complement f.