Kevin K. Lin

This study uses a multiscale model of Macaque V1 to investigate binocular response integration in layer 4C, finding narrow binocular strips and monocular feedback from layer 6.

The paper uses machine learning to decode social vs. non-social context from baseline local field potentials in the amygdala, finding that broad-band information improves decoding accuracy.

This paper introduces a data-informed mean-field approach to map cortical parameter landscapes and identifies biologically plausible parameter regions in a high-dimensional model of the Macaque primary visual cortex.