Recent advancements in diffusion-based image generation and large vision/language models have revolutionized visual brain decoding (VBD), driving progress in neuroscience and …
Due to their intrinsic capabilities in capturing, modeling, and representing relationships between pieces of information, graphs have been used in a wide variety of application …
Visual brain decoding (VBD) seeks to reconstruct visual stimuli from neural signals, yet current evaluation methods primarily focus on pixel-level or semantic fidelity, often …
This paper investigates the preservation of human visual attention in brain activity patterns captured through fMRI during visual decoding tasks. We explore how well attention …