NiCLIP: neuroimaging contrastive language-image pretraining model for predicting text from brain activation images

Researchers developed NiCLIP, a contrastive language-image model trained on 23,000+ articles, to predict cognitive tasks and concepts from brain activation images, showing strong performance on group-level maps but challenges with noisy individual data.