Lin Chen

This study investigates how visual perceptual learning transfers between geometrical invariants of different stability and finds that high-stability invariants enable better transfer and location generalization.

The paper identifies a task-related network, the Topological Discrimination Network (TDN), which shares regions with the default mode network (DMN) and exhibits similar temporal dynamics during resting states.

The paper identifies a neural circuit in larval zebrafish that uses efference copy to coordinate forward and reverse models for visual stabilization during active motion.