arXiv CS
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Scaling Parameter-Efficient Fine-Tuning for Brain Encoding
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 fully fine-tune them after task-pretraining has proven difficult because neural data is costly and l
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