FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain Decoding

收录解读

FPED introduces a functional-network-prior mixture-of-experts framework for fMRI visual decoding, avoiding the common practice of flattening brain signals into unstructured vectors.

Different functional networks are modeled as experts, with adaptive routing estimating their contributions to visual semantic reconstruction and interpretation.

The method preserves more neurobiological structure while still connecting to CLIP-like semantic spaces and image reconstruction objectives.

For the repository, FPED is valuable as a NeuroAI bridge: it uses AI architectures to respect brain network topology while making decoding more interpretable.

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