Yuan Yao

Linear NeuroPaint: An Efficient Baseline for Cross-Session Neural Alignment and Inpainting

Linear NeuroPaint evaluates a linear model for cross-session neural alignment and inpainting, finding it less accurate than nonlinear models but computationally efficient.

Topological decoding of grid cell activity via path lifting to covering spaces

This paper decodes spatial information from grid cell activity using topological data analysis and path-lifting, showing that local trajectories can be reconstructed without external position data.