4 papers
FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain Decoding
Yudan Ren, Pengcheng Shi, Zihan Ma +2
Visual image reconstruction from functional Magnetic Resonance Imaging (fMRI) is a fundamental task in brain decoding, providing a crucial pathway for understanding human perceptua…
HyNeuralMap: Hyperbolic Mapping of Visual Semantics to Neural Hierarchies
Zihan Ma, Tian Xia, Kexin Wang +3
Understanding the intricate mappings between visual stimuli and neural responses is a fundamental challenge in cognitive neuroscience. While current approaches predominantly align…
BrainMCLIP: Brain Image Decoding with Multi-Layer feature Fusion of CLIP
Tian Xia, Zihan Ma, Xinlong Wang +4
Decoding images from fMRI often involves mapping brain activity to CLIP's final semantic layer. To capture finer visual details, many approaches add a parameter-intensive VAE-based…
Uncovering Brain-Like Hierarchical Patterns in Vision-Language Models through fMRI-Based Neural Encoding
Yudan Ren, Xinlong Wang, Kexin Wang +6
While brain-inspired artificial intelligence(AI) has demonstrated promising results, current understanding of the parallels between artificial neural networks (ANNs) and human brai…