Brain-Grasp: Graph-Based Saliency Priors for Improved FMRI-Based Visual Brain Decoding
Conference
Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni
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1 min readMorteza Moradi
What is Wrong with Visual Brain Decoding? A Saliency-based Investigation
Recent advancements in diffusion-based image generation and large vision/language models have revolutionized visual brain decoding (VBD), driving progress in neuroscience and …
Conference
Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni
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1 min readSaliency Matters: From Nodes to Objects
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 …
Conference
Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni
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1 min readHow Well is Human Attention Preserved in fMRI-Based VisualBrain Decoding?
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 …
Conference
Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni
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1 min readHow Well is Human Attention Preserved in fMRI-Based Visual Brain Decoding?
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 …
Conference
Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni
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1 min read