Nathan C. L. Kong

MatClassRSA v2 is a MATLAB toolbox for M/EEG classification, RDM computation, and visualization, offering updated modules and functionalities for cognitive neuroscience research.

This study shows that V1 neurons in macaques rapidly and strongly respond to natural images across all cortical layers within 60 ms of stimulus onset.

This paper shows that making neural networks more robust to image perturbations aligns their features with macaque V1 neural responses and improves predictivity.

This paper develops a computational model of mouse visual cortex, finding that self-supervised contrastive learning produces better matches to mouse cortex than supervised methods, suggesting a resource-efficient, general-purpose visual system.

This study compares CNN layer representations with EEG data to find hierarchical and non-hierarchical correlations in object processing timing.