Natural Image Autoencoder-Based fMRI Representations for Trait and State Prediction
FReD is introduced, which derives fMRI representations from a frozen Deep Compression AutoEncoder pre-trained exclusively on natural images and pairs them with a task specific readout, making frozen natural-image features as a useful baseline for assessing its added value on current fMRI benchmarks.