Token interaction operation is one of the core modules in MLP-based models to exchange
and aggregate information between different spatial locations. However, the power of token …

Currently, efficient spatio-temporal information modeling is one of the key research
components to solve the action recognition problem. Previous approaches focus on …

Multimodal learning with incomplete input data (missing modality) is very practical and
challenging. In this work, we conduct an in-depth analysis of this challenge and find that …

Grid cells in the entorhinal cortex demonstrate spatially periodic firing, thought to provide a
spatial map on behaviorally relevant length scales. Whether such periodicity exists for …

In this study, a novel methodology is proposed for the intelligent detection of harmonic loads
in distribution networks. The proposed method integrates parameter optimization, variational …

Decoding vision is an ambitious task as it aims to transform scalar brain activity into dynamic
images with refined shapes, colors and movements. In familiar environments, the brain may …

Neurons of the medial temporal lobe (MTL) form the basis of semantic representation in the
human brain. While known to contain category-selective cells, it is unclear how the MTL …