Sparse mixed codes on shared manifolds for human-like spatial attention in artificial neural networks
mingchen liu, Fei Song, Bailu Si, Liqin Zhou, Ke Zhou
This paper trains recurrent neural networks to mimic human spatial attention dynamics across different cue types, revealing shared low-dimensional manifolds and sparse coding mechanisms.
bioRxiv · Feb 17, 2026 · PreprintNeuroscience