Jì Xià

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

The paper extends an affine model to explain stimulus-dependent shared variability in visual cortex areas V1 and V2, linking circuit mechanisms to statistical models.

The paper analyzes membrane potential fluctuations in turtle pyramidal neurons to show they exhibit scale-free properties consistent with critical branching networks, suggesting they reflect high-dimensional cortical activity.