TRIBE v2 is a multimodal AI model that predicts human brain activity more accurately than linear encoding models and recovers established neuroscientific findings through in-silico testing.
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Presents a diffeomorphic cortical surface registration technique that iteratively warps streamline endpoints on the product manifold to optimize tract-level correspondence using HCP data.
PIMSM is a Mamba-based architecture that maps knee frequencies from spectra to multi-scale discretization parameters to reduce representation drift under distribution shifts in fMRI and weather forecasting.
citing papers explorer
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A foundation model of vision, audition, and language for in-silico neuroscience
TRIBE v2 is a multimodal AI model that predicts human brain activity more accurately than linear encoding models and recovers established neuroscientific findings through in-silico testing.
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Diffeomorphic Cortical Alignment via Direct Warping of Streamline Endpoints
Presents a diffeomorphic cortical surface registration technique that iteratively warps streamline endpoints on the product manifold to optimize tract-level correspondence using HCP data.
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PIMSM: Physics-Informed Multi-Scale Mamba for Stable Neural Representations under Distribution Shift
PIMSM is a Mamba-based architecture that maps knee frequencies from spectra to multi-scale discretization parameters to reduce representation drift under distribution shifts in fMRI and weather forecasting.