Brain encoding models aim to predict neural responses to stimuli. The most widely used approach fits readouts from frozen pretrained backbones. Using neural data to train large models from scratch or
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Scaling Parameter-Efficient Fine-Tuning for Brain Encoding was first seen on Hugging Face · Daily papers on Oct 20, 2026. Since then it appeared in 11 hourly checks across 2 days, peaking at #1 on Oct 20, 15:17 UTC. It was last on the list on Oct 21, 01:18 UTC.
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