A Quantitative Benchmark of Visual Information in Human Brain Recordings Across fMRI, MEG, and EEG
Taisei Hara, Yoshito Masai, Shinji Nishimoto
This paper benchmarks the information content of fMRI, MEG, and EEG in visual tasks using a unified decoding framework, finding fMRI has the highest accuracy, MEG intermediate, and EEG improved with group-level aggregation.
bioRxiv · Jan 12, 2026 · PreprintNeuroscience