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Mihir Tripathy

2 accepted papers

2026

Scaling Vision Transformers for Functional MRI with Flat Maps

ICML 2026poster

We propose a simple strategy for training a foundation model on functional MRI (fMRI) data: we adapt the standard Vision Transformer to fMRI by first converting each 3D fMRI volume to a 2D map using a standard cortical flat map projection. We train spatiotemporal masked autoencoders (MAE) on 2.3K ho…

Cited by 2SourceScholar
2024

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

ICML 2024poster

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 trained independently per subject where each subject requires dozens of hours of expensive fMRI training data to attain hig…