Ho Yin Chau

The paper develops a nonlinear theory to predict cortical responses to optogenetic perturbations and identifies a feature-tuned inhibition pathway involving SST interneurons.

The paper constructs stabilized supralinear network models of mouse primary visual cortex to analyze how inhibitory cell types dynamically influence context-dependent processing and circuit stability.

The paper develops an exact linear theory to predict cortical network responses to perturbations by analyzing space- and feature-dependent connectivity.

The paper introduces a model where congruent and opposite neurons emerge through Hebbian and anti-Hebbian learning rules, reproducing experimentally observed tuning properties in multisensory integration.

This paper introduces a network model that learns opposite neurons using Hebbian and Anti-Hebbian rules, explaining their formation and role in multisensory integration.