5 citations · 5 across the 12 of their papers we have counts for
5 papers · 1 filter
Real-time Reconstruction of Human Visual Perception from fMRI
Rishab S. Iyer, Jiaxin Cindy Tu, Cesar Kadir Torrico Villanueva +10
Real-time closed-loop neurofeedback based on functional magnetic resonance imaging (fMRI) has led to important scientific and clinical advances. However, the sophistication of the…
Scaling Vision Transformers for Functional MRI with Flat Maps
Connor Lane, Mihir Tripathy, Leema Krishna Murali +15
We study the problem of training self-supervised foundation models for functional MRI. Our main contributions are: (1) we introduce a new model family (CortexMAE) trained using the…
Predicting Brain Responses To Natural Movies With Multimodal LLMs
Cesar Kadir Torrico Villanueva, Jiaxin Cindy Tu, Mihir Tripathy +3
We present MedARC's team solution to the Algonauts 2025 challenge. Our pipeline leveraged rich multimodal representations from various state-of-the-art pretrained models across vid…
NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery
Reese Kneeland, Paul S. Scotti, Ghislain St-Yves +3
We release NSD-Imagery, a benchmark dataset of human fMRI activity paired with mental images, to complement the existing Natural Scenes Dataset (NSD), a large-scale dataset of fMRI…
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
Paul S. Scotti, Mihir Tripathy, Cesar Kadir Torrico Villanueva +8
Reconstructions of visual perception from brain activity have improved tremendously, but the practical utility of such methods has been limited. This is because such models are tra…