FPED is a functional-network prior-guided MoE framework for fMRI visual reconstruction that claims competitive performance at 0.68B parameters and biologically meaningful routing interpretability.
NeuroImage228, 117602 (2021)
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
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UNVERDICTED 2representative citing papers
EEG2Vision reconstructs images from EEG using diffusion models plus LLM-guided boosting, with reconstruction quality holding up reasonably as electrode count drops from 128 to 24 channels.
citing papers explorer
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FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain Decoding
FPED is a functional-network prior-guided MoE framework for fMRI visual reconstruction that claims competitive performance at 0.68B parameters and biologically meaningful routing interpretability.
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EEG2Vision: A Multimodal EEG-Based Framework for 2D Visual Reconstruction in Cognitive Neuroscience
EEG2Vision reconstructs images from EEG using diffusion models plus LLM-guided boosting, with reconstruction quality holding up reasonably as electrode count drops from 128 to 24 channels.